diff --git a/src/libs/AssemblyAI/Generated/AssemblyAI.Models.ContentSafetyLabelsResult.g.cs b/src/libs/AssemblyAI/Generated/AssemblyAI.Models.ContentSafetyLabelsResult.g.cs
index 1f92881..25582b4 100644
--- a/src/libs/AssemblyAI/Generated/AssemblyAI.Models.ContentSafetyLabelsResult.g.cs
+++ b/src/libs/AssemblyAI/Generated/AssemblyAI.Models.ContentSafetyLabelsResult.g.cs
@@ -6,7 +6,7 @@ namespace AssemblyAI
///
/// An array of results for the Content Moderation model, if it is enabled.
/// See [Content moderation](https://www.assemblyai.com/docs/content-moderation) for more information.
- /// Example: {"status":"success","results":[{"text":"Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what\u0027s happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning.","labels":[{"label":"disasters","confidence":0.8142836093902588,"severity":0.4093044400215149}],"sentences_idx_start":0,"sentences_idx_end":5,"timestamp":{"start":250,"end":28840}}],"summary":{"disasters":0.9940800441842205,"health_issues":0.9216489289040967},"severity_score_summary":{"disasters":{"low":0.5733263024656846,"medium":0.42667369753431533,"high":0.0},"health_issues":{"low":0.22863814977924785,"medium":0.45014154926938227,"high":0.32122030095136983}}}
+ /// Example: {"status":"success","results":[{"text":"Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what\u0027s happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning.","labels":[{"label":"disasters","confidence":0.8142836093902588,"severity":0.4093044400215149}],"sentences_idx_start":0,"sentences_idx_end":5,"timestamp":{"start":250,"end":28840}}],"summary":{"disasters":0.9940800441842205,"health_issues":0.9216489289040967},"severity_score_summary":{"disasters":{"low":0.5733263024656846,"medium":0.42667369753431533,"high":0},"health_issues":{"low":0.22863814977924785,"medium":0.45014154926938227,"high":0.32122030095136983}}}
///
public sealed partial class ContentSafetyLabelsResult
{
diff --git a/src/libs/AssemblyAI/Generated/AssemblyAI.Models.SeverityScoreSummary.g.cs b/src/libs/AssemblyAI/Generated/AssemblyAI.Models.SeverityScoreSummary.g.cs
index bcc8af7..b11ec08 100644
--- a/src/libs/AssemblyAI/Generated/AssemblyAI.Models.SeverityScoreSummary.g.cs
+++ b/src/libs/AssemblyAI/Generated/AssemblyAI.Models.SeverityScoreSummary.g.cs
@@ -5,7 +5,7 @@ namespace AssemblyAI
{
///
/// Severity score summary
- /// Example: {"low":0.5733263024656846,"medium":0.42667369753431533,"high":0.0}
+ /// Example: {"low":0.5733263024656846,"medium":0.42667369753431533,"high":0}
///
public sealed partial class SeverityScoreSummary
{
diff --git a/src/libs/AssemblyAI/Generated/AssemblyAI.Models.TopicDetectionModelResult.g.cs b/src/libs/AssemblyAI/Generated/AssemblyAI.Models.TopicDetectionModelResult.g.cs
index 4f339f6..05ce907 100644
--- a/src/libs/AssemblyAI/Generated/AssemblyAI.Models.TopicDetectionModelResult.g.cs
+++ b/src/libs/AssemblyAI/Generated/AssemblyAI.Models.TopicDetectionModelResult.g.cs
@@ -6,7 +6,7 @@ namespace AssemblyAI
///
/// The result of the Topic Detection model, if it is enabled.
/// See [Topic Detection](https://www.assemblyai.com/docs/speech-understanding/topic-detection) for more information.
- /// Example: {"status":"success","results":[{"text":"Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what\u0027s happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning.","labels":[{"relevance":0.988274097442627,"label":"Home\u0026Garden\u003EIndoorEnvironmentalQuality"},{"relevance":0.5821335911750793,"label":"NewsAndPolitics\u003EWeather"},{"relevance":0.0042327106930315495,"label":"MedicalHealth\u003EDiseasesAndConditions\u003ELungAndRespiratoryHealth"},{"relevance":0.0033971222583204508,"label":"NewsAndPolitics\u003EDisasters"},{"relevance":0.002469958271831274,"label":"BusinessAndFinance\u003EBusiness\u003EGreenSolutions"},{"relevance":0.0014376690378412604,"label":"MedicalHealth\u003EDiseasesAndConditions\u003ECancer"},{"relevance":0.0014294233405962586,"label":"Science\u003EEnvironment"},{"relevance":0.001234519761055708,"label":"Travel\u003ETravelLocations\u003EPolarTravel"},{"relevance":0.0010231725173071027,"label":"MedicalHealth\u003EDiseasesAndConditions\u003EColdAndFlu"},{"relevance":0.0007445293595083058,"label":"BusinessAndFinance\u003EIndustries\u003EPowerAndEnergyIndustry"}],"timestamp":{"start":250,"end":28840}}],"summary":{"NewsAndPolitics\u003EWeather":1.0,"Home\u0026Garden\u003EIndoorEnvironmentalQuality":0.9043831825256348,"Science\u003EEnvironment":0.16117265820503235,"BusinessAndFinance\u003EIndustries\u003EEnvironmentalServicesIndustry":0.14393523335456848,"MedicalHealth\u003EDiseasesAndConditions\u003ELungAndRespiratoryHealth":0.11401086300611496,"BusinessAndFinance\u003EBusiness\u003EGreenSolutions":0.06348437070846558,"NewsAndPolitics\u003EDisasters":0.05041387677192688,"Travel\u003ETravelLocations\u003EPolarTravel":0.01308488193899393,"HealthyLiving":0.008222488686442375,"MedicalHealth\u003EDiseasesAndConditions\u003EColdAndFlu":0.0022315620444715023,"MedicalHealth\u003EDiseasesAndConditions\u003EHeartAndCardiovascularDiseases":0.00213034451007843,"HealthyLiving\u003EWellness\u003ESmokingCessation":0.001540527562610805,"MedicalHealth\u003EDiseasesAndConditions\u003EInjuries":0.0013950627762824297,"BusinessAndFinance\u003EIndustries\u003EPowerAndEnergyIndustry":0.0012570273829624057,"MedicalHealth\u003EDiseasesAndConditions\u003ECancer":0.001097781932912767,"MedicalHealth\u003EDiseasesAndConditions\u003EAllergies":0.0010148967849090695,"MedicalHealth\u003EDiseasesAndConditions\u003EMentalHealth":0.000717321818228811,"Style\u0026Fashion\u003EPersonalCare\u003EDeodorantAndAntiperspirant":0.0006022014422342181,"Technology\u0026Computing\u003EComputing\u003EComputerNetworking":0.0005461975233629346,"MedicalHealth\u003EDiseasesAndConditions\u003EInjuries\u003EFirstAid":0.0004885646631009877}}
+ /// Example: {"status":"success","results":[{"text":"Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what\u0027s happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning.","labels":[{"relevance":0.988274097442627,"label":"Home\u0026Garden\u003EIndoorEnvironmentalQuality"},{"relevance":0.5821335911750793,"label":"NewsAndPolitics\u003EWeather"},{"relevance":0.0042327106930315495,"label":"MedicalHealth\u003EDiseasesAndConditions\u003ELungAndRespiratoryHealth"},{"relevance":0.0033971222583204508,"label":"NewsAndPolitics\u003EDisasters"},{"relevance":0.002469958271831274,"label":"BusinessAndFinance\u003EBusiness\u003EGreenSolutions"},{"relevance":0.0014376690378412604,"label":"MedicalHealth\u003EDiseasesAndConditions\u003ECancer"},{"relevance":0.0014294233405962586,"label":"Science\u003EEnvironment"},{"relevance":0.001234519761055708,"label":"Travel\u003ETravelLocations\u003EPolarTravel"},{"relevance":0.0010231725173071027,"label":"MedicalHealth\u003EDiseasesAndConditions\u003EColdAndFlu"},{"relevance":0.0007445293595083058,"label":"BusinessAndFinance\u003EIndustries\u003EPowerAndEnergyIndustry"}],"timestamp":{"start":250,"end":28840}}],"summary":{"NewsAndPolitics\u003EWeather":1,"Home\u0026Garden\u003EIndoorEnvironmentalQuality":0.9043831825256348,"Science\u003EEnvironment":0.16117265820503235,"BusinessAndFinance\u003EIndustries\u003EEnvironmentalServicesIndustry":0.14393523335456848,"MedicalHealth\u003EDiseasesAndConditions\u003ELungAndRespiratoryHealth":0.11401086300611496,"BusinessAndFinance\u003EBusiness\u003EGreenSolutions":0.06348437070846558,"NewsAndPolitics\u003EDisasters":0.05041387677192688,"Travel\u003ETravelLocations\u003EPolarTravel":0.01308488193899393,"HealthyLiving":0.008222488686442375,"MedicalHealth\u003EDiseasesAndConditions\u003EColdAndFlu":0.0022315620444715023,"MedicalHealth\u003EDiseasesAndConditions\u003EHeartAndCardiovascularDiseases":0.00213034451007843,"HealthyLiving\u003EWellness\u003ESmokingCessation":0.001540527562610805,"MedicalHealth\u003EDiseasesAndConditions\u003EInjuries":0.0013950627762824297,"BusinessAndFinance\u003EIndustries\u003EPowerAndEnergyIndustry":0.0012570273829624057,"MedicalHealth\u003EDiseasesAndConditions\u003ECancer":0.001097781932912767,"MedicalHealth\u003EDiseasesAndConditions\u003EAllergies":0.0010148967849090695,"MedicalHealth\u003EDiseasesAndConditions\u003EMentalHealth":0.000717321818228811,"Style\u0026Fashion\u003EPersonalCare\u003EDeodorantAndAntiperspirant":0.0006022014422342181,"Technology\u0026Computing\u003EComputing\u003EComputerNetworking":0.0005461975233629346,"MedicalHealth\u003EDiseasesAndConditions\u003EInjuries\u003EFirstAid":0.0004885646631009877}}
///
public sealed partial class TopicDetectionModelResult
{
diff --git a/src/libs/AssemblyAI/Generated/AssemblyAI.Models.Transcript.g.cs b/src/libs/AssemblyAI/Generated/AssemblyAI.Models.Transcript.g.cs
index 1d8c11f..611736c 100644
--- a/src/libs/AssemblyAI/Generated/AssemblyAI.Models.Transcript.g.cs
+++ b/src/libs/AssemblyAI/Generated/AssemblyAI.Models.Transcript.g.cs
@@ -7,7 +7,7 @@ namespace AssemblyAI
{
///
/// A transcript object
- /// Example: {"id":"9ea68fd3-f953-42c1-9742-976c447fb463","speech_model":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464","language_model":"assemblyai_default","acoustic_model":"assemblyai_default","language_code":"en_us","language_detection":true,"language_confidence_threshold":0.7,"language_confidence":0.9959,"status":"completed","audio_url":"https://assembly.ai/wildfires.mp3","text":"Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what\u0027s happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning. What is it about the conditions right now that have caused this round of wildfires to affect so many people so far away? Well, there\u0027s a couple of things. The season has been pretty dry already. And then the fact that we\u0027re getting hit in the US. Is because there\u0027s a couple of weather systems that are essentially channeling the smoke from those Canadian wildfires through Pennsylvania into the Mid Atlantic and the Northeast and kind of just dropping the smoke there. So what is it in this haze that makes it harmful? And I\u0027m assuming it is harmful. It is. The levels outside right now in Baltimore are considered unhealthy. And most of that is due to what\u0027s called particulate matter, which are tiny particles, microscopic smaller than the width of your hair that can get into your lungs and impact your respiratory system, your cardiovascular system, and even your neurological your brain. What makes this particularly harmful? Is it the volume of particulant? Is it something in particular? What is it exactly? Can you just drill down on that a little bit more? Yeah. So the concentration of particulate matter I was looking at some of the monitors that we have was reaching levels of what are, in science, big 150 micrograms per meter cubed, which is more than ten times what the annual average should be and about four times higher than what you\u0027re supposed to have on a 24 hours average. And so the concentrations of these particles in the air are just much, much higher than we typically see. And exposure to those high levels can lead to a host of health problems. And who is most vulnerable? I noticed that in New York City, for example, they\u0027re canceling outdoor activities. And so here it is in the early days of summer, and they have to keep all the kids inside. So who tends to be vulnerable in a situation like this? It\u0027s the youngest. So children, obviously, whose bodies are still developing. The elderly, who are their bodies are more in decline and they\u0027re more susceptible to the health impacts of breathing, the poor air quality. And then people who have preexisting health conditions, people with respiratory conditions or heart conditions can be triggered by high levels of air pollution. Could this get worse? That\u0027s a good question. In some areas, it\u0027s much worse than others. And it just depends on kind of where the smoke is concentrated. I think New York has some of the higher concentrations right now, but that\u0027s going to change as that air moves away from the New York area. But over the course of the next few days, we will see different areas being hit at different times with the highest concentrations. I was going to ask you about more fires start burning. I don\u0027t expect the concentrations to go up too much higher. I was going to ask you how and you started to answer this, but how much longer could this last? Or forgive me if I\u0027m asking you to speculate, but what do you think? Well, I think the fires are going to burn for a little bit longer, but the key for us in the US. Is the weather system changing. And so right now, it\u0027s kind of the weather systems that are pulling that air into our mid Atlantic and Northeast region. As those weather systems change and shift, we\u0027ll see that smoke going elsewhere and not impact us in this region as much. And so I think that\u0027s going to be the defining factor. And I think the next couple of days we\u0027re going to see a shift in that weather pattern and start to push the smoke away from where we are. And finally, with the impacts of climate change, we are seeing more wildfires. Will we be seeing more of these kinds of wide ranging air quality consequences or circumstances? I mean, that is one of the predictions for climate change. Looking into the future, the fire season is starting earlier and lasting longer, and we\u0027re seeing more frequent fires. So, yeah, this is probably something that we\u0027ll be seeing more frequently. This tends to be much more of an issue in the Western US. So the eastern US. Getting hit right now is a little bit new. But yeah, I think with climate change moving forward, this is something that is going to happen more frequently. That\u0027s Peter De Carlo, associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University. Sergeant Carlo, thanks so much for joining us and sharing this expertise with us. Thank you for having me.","words":[{"text":"Smoke","start":250,"end":650,"confidence":0.97465,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"from","start":730,"end":1022,"confidence":0.99999,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"hundreds","start":1076,"end":1418,"confidence":0.99844,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"of","start":1434,"end":1614,"confidence":0.84,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"wildfires","start":1652,"end":2346,"confidence":0.89572,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"in","start":2378,"end":2526,"confidence":0.99994,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"Canada","start":2548,"end":3130,"confidence":0.93953,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"is","start":3210,"end":3454,"confidence":0.999,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"triggering","start":3492,"end":3946,"confidence":0.74794,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"air","start":3978,"end":4174,"confidence":1.0,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"quality","start":4212,"end":4558,"confidence":0.88077,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"alerts","start":4644,"end":5114,"confidence":0.94814,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"throughout","start":5162,"end":5466,"confidence":0.99726,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"the","start":5498,"end":5694,"confidence":0.79,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"US.","start":5732,"end":6382,"confidence":0.89,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"}],"utterances":[{"confidence":0.9359033333333334,"end":26950,"speaker":"A","start":250,"text":"Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what\u0027s happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor.","words":[{"text":"Smoke","start":250,"end":650,"confidence":0.97503,"speaker":"A"},{"text":"from","start":730,"end":1022,"confidence":0.99999,"speaker":"A"},{"text":"hundreds","start":1076,"end":1418,"confidence":0.99843,"speaker":"A"},{"text":"of","start":1434,"end":1614,"confidence":0.85,"speaker":"A"},{"text":"wildfires","start":1652,"end":2346,"confidence":0.89657,"speaker":"A"},{"text":"in","start":2378,"end":2526,"confidence":0.99994,"speaker":"A"},{"text":"Canada","start":2548,"end":3130,"confidence":0.93864,"speaker":"A"},{"text":"is","start":3210,"end":3454,"confidence":0.999,"speaker":"A"},{"text":"triggering","start":3492,"end":3946,"confidence":0.75366,"speaker":"A"},{"text":"air","start":3978,"end":4174,"confidence":1.0,"speaker":"A"},{"text":"quality","start":4212,"end":4558,"confidence":0.87745,"speaker":"A"},{"text":"alerts","start":4644,"end":5114,"confidence":0.94739,"speaker":"A"},{"text":"throughout","start":5162,"end":5466,"confidence":0.99726,"speaker":"A"},{"text":"the","start":5498,"end":5694,"confidence":0.79,"speaker":"A"},{"text":"US.","start":5732,"end":6382,"confidence":0.88,"speaker":"A"}]}],"confidence":0.9404651451800253,"audio_duration":281,"punctuate":true,"format_text":true,"multichannel":false,"webhook_url":"https://your-webhook-url.tld/path","webhook_status_code":200,"webhook_auth":true,"webhook_auth_header_name":"webhook-secret","auto_highlights_result":{"status":"success","results":[{"count":1,"rank":0.08,"text":"air quality alerts","timestamps":[{"start":3978,"end":5114}]},{"count":1,"rank":0.08,"text":"wide ranging air quality consequences","timestamps":[{"start":235388,"end":238694}]},{"count":1,"rank":0.07,"text":"more wildfires","timestamps":[{"start":230972,"end":232354}]},{"count":1,"rank":0.07,"text":"air pollution","timestamps":[{"start":156004,"end":156910}]},{"count":3,"rank":0.07,"text":"weather systems","timestamps":[{"start":47344,"end":47958},{"start":205268,"end":205818},{"start":211588,"end":213434}]},{"count":2,"rank":0.06,"text":"high levels","timestamps":[{"start":121128,"end":121646},{"start":155412,"end":155866}]},{"count":1,"rank":0.06,"text":"health conditions","timestamps":[{"start":152138,"end":152666}]},{"count":2,"rank":0.06,"text":"Peter de Carlo","timestamps":[{"start":18948,"end":19930},{"start":268298,"end":269194}]},{"count":1,"rank":0.06,"text":"New York City","timestamps":[{"start":125768,"end":126274}]},{"count":1,"rank":0.05,"text":"respiratory conditions","timestamps":[{"start":152964,"end":153786}]},{"count":3,"rank":0.05,"text":"New York","timestamps":[{"start":125768,"end":126034},{"start":171448,"end":171938},{"start":176008,"end":176322}]},{"count":3,"rank":0.05,"text":"climate change","timestamps":[{"start":229548,"end":230230},{"start":244576,"end":245162},{"start":263348,"end":263950}]},{"count":1,"rank":0.05,"text":"Johns Hopkins University Varsity","timestamps":[{"start":23972,"end":25490}]},{"count":1,"rank":0.05,"text":"heart conditions","timestamps":[{"start":153988,"end":154506}]},{"count":1,"rank":0.05,"text":"air quality warnings","timestamps":[{"start":12308,"end":13434}]}]},"auto_highlights":true,"audio_start_from":10,"audio_end_at":280,"filter_profanity":true,"redact_pii":true,"redact_pii_audio":true,"redact_pii_audio_quality":"mp3","redact_pii_policies":["us_social_security_number","credit_card_number"],"redact_pii_sub":"hash","speaker_labels":true,"content_safety":true,"iab_categories":true,"content_safety_labels":{"status":"success","results":[{"text":"Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what\u0027s happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning.","labels":[{"label":"disasters","confidence":0.8142836093902588,"severity":0.4093044400215149}],"sentences_idx_start":0,"sentences_idx_end":5,"timestamp":{"start":250,"end":28840}}],"summary":{"disasters":0.9940800441842205,"health_issues":0.9216489289040967},"severity_score_summary":{"disasters":{"low":0.5733263024656846,"medium":0.42667369753431533,"high":0.0},"health_issues":{"low":0.22863814977924785,"medium":0.45014154926938227,"high":0.32122030095136983}}},"iab_categories_result":{"status":"success","results":[{"text":"Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what\u0027s happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning.","labels":[{"relevance":0.988274097442627,"label":"Home\u0026Garden\u003EIndoorEnvironmentalQuality"},{"relevance":0.5821335911750793,"label":"NewsAndPolitics\u003EWeather"},{"relevance":0.0042327106930315495,"label":"MedicalHealth\u003EDiseasesAndConditions\u003ELungAndRespiratoryHealth"},{"relevance":0.0033971222583204508,"label":"NewsAndPolitics\u003EDisasters"},{"relevance":0.002469958271831274,"label":"BusinessAndFinance\u003EBusiness\u003EGreenSolutions"},{"relevance":0.0014376690378412604,"label":"MedicalHealth\u003EDiseasesAndConditions\u003ECancer"},{"relevance":0.0014294233405962586,"label":"Science\u003EEnvironment"},{"relevance":0.001234519761055708,"label":"Travel\u003ETravelLocations\u003EPolarTravel"},{"relevance":0.0010231725173071027,"label":"MedicalHealth\u003EDiseasesAndConditions\u003EColdAndFlu"},{"relevance":0.0007445293595083058,"label":"BusinessAndFinance\u003EIndustries\u003EPowerAndEnergyIndustry"}],"timestamp":{"start":250,"end":28840}}],"summary":{"NewsAndPolitics\u003EWeather":1.0,"Home\u0026Garden\u003EIndoorEnvironmentalQuality":0.9043831825256348,"Science\u003EEnvironment":0.16117265820503235,"BusinessAndFinance\u003EIndustries\u003EEnvironmentalServicesIndustry":0.14393523335456848,"MedicalHealth\u003EDiseasesAndConditions\u003ELungAndRespiratoryHealth":0.11401086300611496,"BusinessAndFinance\u003EBusiness\u003EGreenSolutions":0.06348437070846558,"NewsAndPolitics\u003EDisasters":0.05041387677192688,"Travel\u003ETravelLocations\u003EPolarTravel":0.01308488193899393,"HealthyLiving":0.008222488686442375,"MedicalHealth\u003EDiseasesAndConditions\u003EColdAndFlu":0.0022315620444715023,"MedicalHealth\u003EDiseasesAndConditions\u003EHeartAndCardiovascularDiseases":0.00213034451007843,"HealthyLiving\u003EWellness\u003ESmokingCessation":0.001540527562610805,"MedicalHealth\u003EDiseasesAndConditions\u003EInjuries":0.0013950627762824297,"BusinessAndFinance\u003EIndustries\u003EPowerAndEnergyIndustry":0.0012570273829624057,"MedicalHealth\u003EDiseasesAndConditions\u003ECancer":0.001097781932912767,"MedicalHealth\u003EDiseasesAndConditions\u003EAllergies":0.0010148967849090695,"MedicalHealth\u003EDiseasesAndConditions\u003EMentalHealth":0.000717321818228811,"Style\u0026Fashion\u003EPersonalCare\u003EDeodorantAndAntiperspirant":0.0006022014422342181,"Technology\u0026Computing\u003EComputing\u003EComputerNetworking":0.0005461975233629346,"MedicalHealth\u003EDiseasesAndConditions\u003EInjuries\u003EFirstAid":0.0004885646631009877}},"custom_spelling":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464","throttled":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464","auto_chapters":false,"summarization":false,"summary_type":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464","summary_model":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464","custom_topics":true,"topics":[],"speech_threshold":0.5,"remove_audio_tags":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464","domain":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464","disfluencies":false,"sentiment_analysis":true,"sentiment_analysis_results":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464","entity_detection":true,"entities":[{"entity_type":"location","text":"Canada","start":2548,"end":3130},{"entity_type":"location","text":"the US","start":5498,"end":6382},{"entity_type":"location","text":"Maine","start":7492,"end":7914},{"entity_type":"location","text":"Maryland","start":8212,"end":8634},{"entity_type":"location","text":"Minnesota","start":8932,"end":9578},{"entity_type":"person_name","text":"Peter de Carlo","start":18948,"end":19930},{"entity_type":"occupation","text":"associate professor","start":20292,"end":21194},{"entity_type":"organization","text":"Department of Environmental Health and Engineering","start":21508,"end":23706},{"entity_type":"organization","text":"Johns Hopkins University Varsity","start":23972,"end":25490},{"entity_type":"occupation","text":"professor","start":26076,"end":26950},{"entity_type":"location","text":"the US","start":45184,"end":45898},{"entity_type":"nationality","text":"Canadian","start":49728,"end":50086}],"chapters":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464","summary":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464","speakers_expected":2}
+ /// Example: {"id":"9ea68fd3-f953-42c1-9742-976c447fb463","speech_model":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464","language_model":"assemblyai_default","acoustic_model":"assemblyai_default","language_code":"en_us","language_detection":true,"language_confidence_threshold":0.7,"language_confidence":0.9959,"status":"completed","audio_url":"https://assembly.ai/wildfires.mp3","text":"Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what\u0027s happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning. What is it about the conditions right now that have caused this round of wildfires to affect so many people so far away? Well, there\u0027s a couple of things. The season has been pretty dry already. And then the fact that we\u0027re getting hit in the US. Is because there\u0027s a couple of weather systems that are essentially channeling the smoke from those Canadian wildfires through Pennsylvania into the Mid Atlantic and the Northeast and kind of just dropping the smoke there. So what is it in this haze that makes it harmful? And I\u0027m assuming it is harmful. It is. The levels outside right now in Baltimore are considered unhealthy. And most of that is due to what\u0027s called particulate matter, which are tiny particles, microscopic smaller than the width of your hair that can get into your lungs and impact your respiratory system, your cardiovascular system, and even your neurological your brain. What makes this particularly harmful? Is it the volume of particulant? Is it something in particular? What is it exactly? Can you just drill down on that a little bit more? Yeah. So the concentration of particulate matter I was looking at some of the monitors that we have was reaching levels of what are, in science, big 150 micrograms per meter cubed, which is more than ten times what the annual average should be and about four times higher than what you\u0027re supposed to have on a 24 hours average. And so the concentrations of these particles in the air are just much, much higher than we typically see. And exposure to those high levels can lead to a host of health problems. And who is most vulnerable? I noticed that in New York City, for example, they\u0027re canceling outdoor activities. And so here it is in the early days of summer, and they have to keep all the kids inside. So who tends to be vulnerable in a situation like this? It\u0027s the youngest. So children, obviously, whose bodies are still developing. The elderly, who are their bodies are more in decline and they\u0027re more susceptible to the health impacts of breathing, the poor air quality. And then people who have preexisting health conditions, people with respiratory conditions or heart conditions can be triggered by high levels of air pollution. Could this get worse? That\u0027s a good question. In some areas, it\u0027s much worse than others. And it just depends on kind of where the smoke is concentrated. I think New York has some of the higher concentrations right now, but that\u0027s going to change as that air moves away from the New York area. But over the course of the next few days, we will see different areas being hit at different times with the highest concentrations. I was going to ask you about more fires start burning. I don\u0027t expect the concentrations to go up too much higher. I was going to ask you how and you started to answer this, but how much longer could this last? Or forgive me if I\u0027m asking you to speculate, but what do you think? Well, I think the fires are going to burn for a little bit longer, but the key for us in the US. Is the weather system changing. And so right now, it\u0027s kind of the weather systems that are pulling that air into our mid Atlantic and Northeast region. As those weather systems change and shift, we\u0027ll see that smoke going elsewhere and not impact us in this region as much. And so I think that\u0027s going to be the defining factor. And I think the next couple of days we\u0027re going to see a shift in that weather pattern and start to push the smoke away from where we are. And finally, with the impacts of climate change, we are seeing more wildfires. Will we be seeing more of these kinds of wide ranging air quality consequences or circumstances? I mean, that is one of the predictions for climate change. Looking into the future, the fire season is starting earlier and lasting longer, and we\u0027re seeing more frequent fires. So, yeah, this is probably something that we\u0027ll be seeing more frequently. This tends to be much more of an issue in the Western US. So the eastern US. Getting hit right now is a little bit new. But yeah, I think with climate change moving forward, this is something that is going to happen more frequently. That\u0027s Peter De Carlo, associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University. Sergeant Carlo, thanks so much for joining us and sharing this expertise with us. Thank you for having me.","words":[{"text":"Smoke","start":250,"end":650,"confidence":0.97465,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"from","start":730,"end":1022,"confidence":0.99999,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"hundreds","start":1076,"end":1418,"confidence":0.99844,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"of","start":1434,"end":1614,"confidence":0.84,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"wildfires","start":1652,"end":2346,"confidence":0.89572,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"in","start":2378,"end":2526,"confidence":0.99994,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"Canada","start":2548,"end":3130,"confidence":0.93953,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"is","start":3210,"end":3454,"confidence":0.999,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"triggering","start":3492,"end":3946,"confidence":0.74794,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"air","start":3978,"end":4174,"confidence":1,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"quality","start":4212,"end":4558,"confidence":0.88077,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"alerts","start":4644,"end":5114,"confidence":0.94814,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"throughout","start":5162,"end":5466,"confidence":0.99726,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"the","start":5498,"end":5694,"confidence":0.79,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"},{"text":"US.","start":5732,"end":6382,"confidence":0.89,"speaker":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464"}],"utterances":[{"confidence":0.9359033333333334,"end":26950,"speaker":"A","start":250,"text":"Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. 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Good morning, professor.","words":[{"text":"Smoke","start":250,"end":650,"confidence":0.97503,"speaker":"A"},{"text":"from","start":730,"end":1022,"confidence":0.99999,"speaker":"A"},{"text":"hundreds","start":1076,"end":1418,"confidence":0.99843,"speaker":"A"},{"text":"of","start":1434,"end":1614,"confidence":0.85,"speaker":"A"},{"text":"wildfires","start":1652,"end":2346,"confidence":0.89657,"speaker":"A"},{"text":"in","start":2378,"end":2526,"confidence":0.99994,"speaker":"A"},{"text":"Canada","start":2548,"end":3130,"confidence":0.93864,"speaker":"A"},{"text":"is","start":3210,"end":3454,"confidence":0.999,"speaker":"A"},{"text":"triggering","start":3492,"end":3946,"confidence":0.75366,"speaker":"A"},{"text":"air","start":3978,"end":4174,"confidence":1,"speaker":"A"},{"text":"quality","start":4212,"end":4558,"confidence":0.87745,"speaker":"A"},{"text":"alerts","start":4644,"end":5114,"confidence":0.94739,"speaker":"A"},{"text":"throughout","start":5162,"end":5466,"confidence":0.99726,"speaker":"A"},{"text":"the","start":5498,"end":5694,"confidence":0.79,"speaker":"A"},{"text":"US.","start":5732,"end":6382,"confidence":0.88,"speaker":"A"}]}],"confidence":0.9404651451800253,"audio_duration":281,"punctuate":true,"format_text":true,"multichannel":false,"webhook_url":"https://your-webhook-url.tld/path","webhook_status_code":200,"webhook_auth":true,"webhook_auth_header_name":"webhook-secret","auto_highlights_result":{"status":"success","results":[{"count":1,"rank":0.08,"text":"air quality alerts","timestamps":[{"start":3978,"end":5114}]},{"count":1,"rank":0.08,"text":"wide ranging air quality consequences","timestamps":[{"start":235388,"end":238694}]},{"count":1,"rank":0.07,"text":"more wildfires","timestamps":[{"start":230972,"end":232354}]},{"count":1,"rank":0.07,"text":"air pollution","timestamps":[{"start":156004,"end":156910}]},{"count":3,"rank":0.07,"text":"weather systems","timestamps":[{"start":47344,"end":47958},{"start":205268,"end":205818},{"start":211588,"end":213434}]},{"count":2,"rank":0.06,"text":"high levels","timestamps":[{"start":121128,"end":121646},{"start":155412,"end":155866}]},{"count":1,"rank":0.06,"text":"health conditions","timestamps":[{"start":152138,"end":152666}]},{"count":2,"rank":0.06,"text":"Peter de Carlo","timestamps":[{"start":18948,"end":19930},{"start":268298,"end":269194}]},{"count":1,"rank":0.06,"text":"New York City","timestamps":[{"start":125768,"end":126274}]},{"count":1,"rank":0.05,"text":"respiratory conditions","timestamps":[{"start":152964,"end":153786}]},{"count":3,"rank":0.05,"text":"New York","timestamps":[{"start":125768,"end":126034},{"start":171448,"end":171938},{"start":176008,"end":176322}]},{"count":3,"rank":0.05,"text":"climate change","timestamps":[{"start":229548,"end":230230},{"start":244576,"end":245162},{"start":263348,"end":263950}]},{"count":1,"rank":0.05,"text":"Johns Hopkins University Varsity","timestamps":[{"start":23972,"end":25490}]},{"count":1,"rank":0.05,"text":"heart conditions","timestamps":[{"start":153988,"end":154506}]},{"count":1,"rank":0.05,"text":"air quality warnings","timestamps":[{"start":12308,"end":13434}]}]},"auto_highlights":true,"audio_start_from":10,"audio_end_at":280,"filter_profanity":true,"redact_pii":true,"redact_pii_audio":true,"redact_pii_audio_quality":"mp3","redact_pii_policies":["us_social_security_number","credit_card_number"],"redact_pii_sub":"hash","speaker_labels":true,"content_safety":true,"iab_categories":true,"content_safety_labels":{"status":"success","results":[{"text":"Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what\u0027s happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning.","labels":[{"label":"disasters","confidence":0.8142836093902588,"severity":0.4093044400215149}],"sentences_idx_start":0,"sentences_idx_end":5,"timestamp":{"start":250,"end":28840}}],"summary":{"disasters":0.9940800441842205,"health_issues":0.9216489289040967},"severity_score_summary":{"disasters":{"low":0.5733263024656846,"medium":0.42667369753431533,"high":0},"health_issues":{"low":0.22863814977924785,"medium":0.45014154926938227,"high":0.32122030095136983}}},"iab_categories_result":{"status":"success","results":[{"text":"Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what\u0027s happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning.","labels":[{"relevance":0.988274097442627,"label":"Home\u0026Garden\u003EIndoorEnvironmentalQuality"},{"relevance":0.5821335911750793,"label":"NewsAndPolitics\u003EWeather"},{"relevance":0.0042327106930315495,"label":"MedicalHealth\u003EDiseasesAndConditions\u003ELungAndRespiratoryHealth"},{"relevance":0.0033971222583204508,"label":"NewsAndPolitics\u003EDisasters"},{"relevance":0.002469958271831274,"label":"BusinessAndFinance\u003EBusiness\u003EGreenSolutions"},{"relevance":0.0014376690378412604,"label":"MedicalHealth\u003EDiseasesAndConditions\u003ECancer"},{"relevance":0.0014294233405962586,"label":"Science\u003EEnvironment"},{"relevance":0.001234519761055708,"label":"Travel\u003ETravelLocations\u003EPolarTravel"},{"relevance":0.0010231725173071027,"label":"MedicalHealth\u003EDiseasesAndConditions\u003EColdAndFlu"},{"relevance":0.0007445293595083058,"label":"BusinessAndFinance\u003EIndustries\u003EPowerAndEnergyIndustry"}],"timestamp":{"start":250,"end":28840}}],"summary":{"NewsAndPolitics\u003EWeather":1,"Home\u0026Garden\u003EIndoorEnvironmentalQuality":0.9043831825256348,"Science\u003EEnvironment":0.16117265820503235,"BusinessAndFinance\u003EIndustries\u003EEnvironmentalServicesIndustry":0.14393523335456848,"MedicalHealth\u003EDiseasesAndConditions\u003ELungAndRespiratoryHealth":0.11401086300611496,"BusinessAndFinance\u003EBusiness\u003EGreenSolutions":0.06348437070846558,"NewsAndPolitics\u003EDisasters":0.05041387677192688,"Travel\u003ETravelLocations\u003EPolarTravel":0.01308488193899393,"HealthyLiving":0.008222488686442375,"MedicalHealth\u003EDiseasesAndConditions\u003EColdAndFlu":0.0022315620444715023,"MedicalHealth\u003EDiseasesAndConditions\u003EHeartAndCardiovascularDiseases":0.00213034451007843,"HealthyLiving\u003EWellness\u003ESmokingCessation":0.001540527562610805,"MedicalHealth\u003EDiseasesAndConditions\u003EInjuries":0.0013950627762824297,"BusinessAndFinance\u003EIndustries\u003EPowerAndEnergyIndustry":0.0012570273829624057,"MedicalHealth\u003EDiseasesAndConditions\u003ECancer":0.001097781932912767,"MedicalHealth\u003EDiseasesAndConditions\u003EAllergies":0.0010148967849090695,"MedicalHealth\u003EDiseasesAndConditions\u003EMentalHealth":0.000717321818228811,"Style\u0026Fashion\u003EPersonalCare\u003EDeodorantAndAntiperspirant":0.0006022014422342181,"Technology\u0026Computing\u003EComputing\u003EComputerNetworking":0.0005461975233629346,"MedicalHealth\u003EDiseasesAndConditions\u003EInjuries\u003EFirstAid":0.0004885646631009877}},"custom_spelling":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464","throttled":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464","auto_chapters":false,"summarization":false,"summary_type":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464","summary_model":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464","custom_topics":true,"topics":[],"speech_threshold":0.5,"remove_audio_tags":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464","domain":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464","disfluencies":false,"sentiment_analysis":true,"sentiment_analysis_results":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464","entity_detection":true,"entities":[{"entity_type":"location","text":"Canada","start":2548,"end":3130},{"entity_type":"location","text":"the US","start":5498,"end":6382},{"entity_type":"location","text":"Maine","start":7492,"end":7914},{"entity_type":"location","text":"Maryland","start":8212,"end":8634},{"entity_type":"location","text":"Minnesota","start":8932,"end":9578},{"entity_type":"person_name","text":"Peter de Carlo","start":18948,"end":19930},{"entity_type":"occupation","text":"associate professor","start":20292,"end":21194},{"entity_type":"organization","text":"Department of Environmental Health and Engineering","start":21508,"end":23706},{"entity_type":"organization","text":"Johns Hopkins University Varsity","start":23972,"end":25490},{"entity_type":"occupation","text":"professor","start":26076,"end":26950},{"entity_type":"location","text":"the US","start":45184,"end":45898},{"entity_type":"nationality","text":"Canadian","start":49728,"end":50086}],"chapters":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464","summary":"openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464","speakers_expected":2}
///
public sealed partial class Transcript
{
diff --git a/src/libs/AssemblyAI/Generated/AssemblyAI.Models.TranscriptOptionalParams.g.cs b/src/libs/AssemblyAI/Generated/AssemblyAI.Models.TranscriptOptionalParams.g.cs
index cd23397..e4c00e8 100644
--- a/src/libs/AssemblyAI/Generated/AssemblyAI.Models.TranscriptOptionalParams.g.cs
+++ b/src/libs/AssemblyAI/Generated/AssemblyAI.Models.TranscriptOptionalParams.g.cs
@@ -312,7 +312,7 @@ public sealed partial class TranscriptOptionalParams
///
/// Control the amount of randomness injected into the model's response. See the [Prompting Guide](https://www.assemblyai.com/docs/pre-recorded-audio/prompting) for more details.
/// Note: This parameter can only be used with the Universal-3 Pro model.
- /// Default Value: 0.0
+ /// Default Value: 0
///
[global::System.Text.Json.Serialization.JsonPropertyName("temperature")]
public double? Temperature { get; set; }
@@ -518,7 +518,7 @@ public sealed partial class TranscriptOptionalParams
///
/// Control the amount of randomness injected into the model's response. See the [Prompting Guide](https://www.assemblyai.com/docs/pre-recorded-audio/prompting) for more details.
/// Note: This parameter can only be used with the Universal-3 Pro model.
- /// Default Value: 0.0
+ /// Default Value: 0
///
///
/// The header name to be sent with the transcript completed or failed [webhook](https://www.assemblyai.com/docs/deployment/webhooks-for-pre-recorded-audio) requests
diff --git a/src/libs/AssemblyAI/Generated/AssemblyAI.Models.TranscriptUtterance.g.cs b/src/libs/AssemblyAI/Generated/AssemblyAI.Models.TranscriptUtterance.g.cs
index 423badd..abb74c3 100644
--- a/src/libs/AssemblyAI/Generated/AssemblyAI.Models.TranscriptUtterance.g.cs
+++ b/src/libs/AssemblyAI/Generated/AssemblyAI.Models.TranscriptUtterance.g.cs
@@ -5,7 +5,7 @@ namespace AssemblyAI
{
///
/// Utterance
- /// Example: {"confidence":0.9359033333333334,"end":26950,"speaker":"A","start":250,"text":"Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what\u0027s happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor.","words":[{"text":"Smoke","start":250,"end":650,"confidence":0.97503,"speaker":"A"},{"text":"from","start":730,"end":1022,"confidence":0.99999,"speaker":"A"},{"text":"hundreds","start":1076,"end":1418,"confidence":0.99843,"speaker":"A"},{"text":"of","start":1434,"end":1614,"confidence":0.85,"speaker":"A"},{"text":"wildfires","start":1652,"end":2346,"confidence":0.89657,"speaker":"A"},{"text":"in","start":2378,"end":2526,"confidence":0.99994,"speaker":"A"},{"text":"Canada","start":2548,"end":3130,"confidence":0.93864,"speaker":"A"},{"text":"is","start":3210,"end":3454,"confidence":0.999,"speaker":"A"},{"text":"triggering","start":3492,"end":3946,"confidence":0.75366,"speaker":"A"},{"text":"air","start":3978,"end":4174,"confidence":1.0,"speaker":"A"},{"text":"quality","start":4212,"end":4558,"confidence":0.87745,"speaker":"A"},{"text":"alerts","start":4644,"end":5114,"confidence":0.94739,"speaker":"A"},{"text":"throughout","start":5162,"end":5466,"confidence":0.99726,"speaker":"A"},{"text":"the","start":5498,"end":5694,"confidence":0.79,"speaker":"A"},{"text":"US.","start":5732,"end":6382,"confidence":0.88,"speaker":"A"}]}
+ /// Example: {"confidence":0.9359033333333334,"end":26950,"speaker":"A","start":250,"text":"Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what\u0027s happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor.","words":[{"text":"Smoke","start":250,"end":650,"confidence":0.97503,"speaker":"A"},{"text":"from","start":730,"end":1022,"confidence":0.99999,"speaker":"A"},{"text":"hundreds","start":1076,"end":1418,"confidence":0.99843,"speaker":"A"},{"text":"of","start":1434,"end":1614,"confidence":0.85,"speaker":"A"},{"text":"wildfires","start":1652,"end":2346,"confidence":0.89657,"speaker":"A"},{"text":"in","start":2378,"end":2526,"confidence":0.99994,"speaker":"A"},{"text":"Canada","start":2548,"end":3130,"confidence":0.93864,"speaker":"A"},{"text":"is","start":3210,"end":3454,"confidence":0.999,"speaker":"A"},{"text":"triggering","start":3492,"end":3946,"confidence":0.75366,"speaker":"A"},{"text":"air","start":3978,"end":4174,"confidence":1,"speaker":"A"},{"text":"quality","start":4212,"end":4558,"confidence":0.87745,"speaker":"A"},{"text":"alerts","start":4644,"end":5114,"confidence":0.94739,"speaker":"A"},{"text":"throughout","start":5162,"end":5466,"confidence":0.99726,"speaker":"A"},{"text":"the","start":5498,"end":5694,"confidence":0.79,"speaker":"A"},{"text":"US.","start":5732,"end":6382,"confidence":0.88,"speaker":"A"}]}
///
public sealed partial class TranscriptUtterance
{
diff --git a/src/libs/AssemblyAI/Generated/autosdk.generated-examples.json b/src/libs/AssemblyAI/Generated/autosdk.generated-examples.json
index 0b75d67..a5bac16 100644
--- a/src/libs/AssemblyAI/Generated/autosdk.generated-examples.json
+++ b/src/libs/AssemblyAI/Generated/autosdk.generated-examples.json
@@ -94,7 +94,7 @@
"Slug": "createtranscript",
"Description": "\u003CNote\u003ETo use our EU server for transcription, replace \u0060api.assemblyai.com\u0060 with \u0060api.eu.assemblyai.com\u0060.\u003C/Note\u003E\n\u003CTip\u003EBuilding a load test or submitting a large batch? [See our guide \u2192](/pre-recorded-audio/guides/bulk-transcription-and-load-tests-at-scale)\u003C/Tip\u003E\nCreate a transcript from a media file that is accessible via a URL.",
"Language": "csharp",
- "Code": "using var client = new AssemblyAIClient(apiKey);\n\nvar request = global::System.Text.Json.JsonSerializer.Deserialize\u003Cglobal::AssemblyAI.TranscriptParams\u003E(\n @\u0022{\n \u0022\u0022speech_model\u0022\u0022: \u0022\u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\u0022,\n \u0022\u0022language_code\u0022\u0022: \u0022\u0022en_us\u0022\u0022,\n \u0022\u0022language_detection\u0022\u0022: true,\n \u0022\u0022language_confidence_threshold\u0022\u0022: 0.7,\n \u0022\u0022audio_url\u0022\u0022: \u0022\u0022https://assembly.ai/wildfires.mp3\u0022\u0022,\n \u0022\u0022punctuate\u0022\u0022: true,\n \u0022\u0022format_text\u0022\u0022: true,\n \u0022\u0022multichannel\u0022\u0022: true,\n \u0022\u0022webhook_url\u0022\u0022: \u0022\u0022https://your-webhook-url/path\u0022\u0022,\n \u0022\u0022webhook_auth_header_name\u0022\u0022: \u0022\u0022webhook-secret\u0022\u0022,\n \u0022\u0022webhook_auth_header_value\u0022\u0022: \u0022\u0022webhook-secret-value\u0022\u0022,\n \u0022\u0022auto_highlights\u0022\u0022: true,\n \u0022\u0022audio_start_from\u0022\u0022: 10,\n \u0022\u0022audio_end_at\u0022\u0022: 280,\n \u0022\u0022filter_profanity\u0022\u0022: true,\n \u0022\u0022redact_pii\u0022\u0022: true,\n \u0022\u0022redact_pii_audio\u0022\u0022: true,\n \u0022\u0022redact_pii_audio_quality\u0022\u0022: \u0022\u0022mp3\u0022\u0022,\n \u0022\u0022redact_pii_policies\u0022\u0022: [\n \u0022\u0022us_social_security_number\u0022\u0022,\n \u0022\u0022credit_card_number\u0022\u0022\n ],\n \u0022\u0022redact_pii_sub\u0022\u0022: \u0022\u0022hash\u0022\u0022,\n \u0022\u0022speaker_labels\u0022\u0022: true,\n \u0022\u0022speakers_expected\u0022\u0022: 2,\n \u0022\u0022content_safety\u0022\u0022: true,\n \u0022\u0022iab_categories\u0022\u0022: true,\n \u0022\u0022custom_spelling\u0022\u0022: [],\n \u0022\u0022disfluencies\u0022\u0022: false,\n \u0022\u0022sentiment_analysis\u0022\u0022: true,\n \u0022\u0022auto_chapters\u0022\u0022: false,\n \u0022\u0022entity_detection\u0022\u0022: true,\n \u0022\u0022speech_threshold\u0022\u0022: 0.5,\n \u0022\u0022summarization\u0022\u0022: false,\n \u0022\u0022summary_model\u0022\u0022: \u0022\u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\u0022,\n \u0022\u0022summary_type\u0022\u0022: \u0022\u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\u0022,\n \u0022\u0022custom_topics\u0022\u0022: true,\n \u0022\u0022topics\u0022\u0022: [],\n \u0022\u0022remove_audio_tags\u0022\u0022: \u0022\u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\u0022,\n \u0022\u0022domain\u0022\u0022: \u0022\u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\u0022,\n \u0022\u0022speech_understanding\u0022\u0022: {\n \u0022\u0022request\u0022\u0022: {\n \u0022\u0022translation\u0022\u0022: {\n \u0022\u0022target_languages\u0022\u0022: [\n \u0022\u0022es\u0022\u0022,\n \u0022\u0022de\u0022\u0022\n ],\n \u0022\u0022formal\u0022\u0022: true,\n \u0022\u0022match_original_utterance\u0022\u0022: true\n }\n }\n }\n}\u0022)!;\n\nvar response = await client.Transcripts.SubmitAsync(\n request: request\n);\n\n// Example response:\n// {\n// \u0022id\u0022: \u00229ea68fd3-f953-42c1-9742-976c447fb463\u0022,\n// \u0022speech_model\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022,\n// \u0022language_model\u0022: \u0022assemblyai_default\u0022,\n// \u0022acoustic_model\u0022: \u0022assemblyai_default\u0022,\n// \u0022language_code\u0022: \u0022en_us\u0022,\n// \u0022language_detection\u0022: true,\n// \u0022language_confidence_threshold\u0022: 0.7,\n// \u0022language_confidence\u0022: 0.9959,\n// \u0022status\u0022: \u0022completed\u0022,\n// \u0022audio_url\u0022: \u0022https://assembly.ai/wildfires.mp3\u0022,\n// \u0022text\u0022: \u0022Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what\\u0027s happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning. What is it about the conditions right now that have caused this round of wildfires to affect so many people so far away? Well, there\\u0027s a couple of things. The season has been pretty dry already. And then the fact that we\\u0027re getting hit in the US. Is because there\\u0027s a couple of weather systems that are essentially channeling the smoke from those Canadian wildfires through Pennsylvania into the Mid Atlantic and the Northeast and kind of just dropping the smoke there. So what is it in this haze that makes it harmful? And I\\u0027m assuming it is harmful. It is. The levels outside right now in Baltimore are considered unhealthy. And most of that is due to what\\u0027s called particulate matter, which are tiny particles, microscopic smaller than the width of your hair that can get into your lungs and impact your respiratory system, your cardiovascular system, and even your neurological your brain. What makes this particularly harmful? Is it the volume of particulant? Is it something in particular? What is it exactly? Can you just drill down on that a little bit more? Yeah. So the concentration of particulate matter I was looking at some of the monitors that we have was reaching levels of what are, in science, big 150 micrograms per meter cubed, which is more than ten times what the annual average should be and about four times higher than what you\\u0027re supposed to have on a 24 hours average. And so the concentrations of these particles in the air are just much, much higher than we typically see. And exposure to those high levels can lead to a host of health problems. And who is most vulnerable? I noticed that in New York City, for example, they\\u0027re canceling outdoor activities. And so here it is in the early days of summer, and they have to keep all the kids inside. So who tends to be vulnerable in a situation like this? It\\u0027s the youngest. So children, obviously, whose bodies are still developing. The elderly, who are their bodies are more in decline and they\\u0027re more susceptible to the health impacts of breathing, the poor air quality. And then people who have preexisting health conditions, people with respiratory conditions or heart conditions can be triggered by high levels of air pollution. Could this get worse? That\\u0027s a good question. In some areas, it\\u0027s much worse than others. And it just depends on kind of where the smoke is concentrated. I think New York has some of the higher concentrations right now, but that\\u0027s going to change as that air moves away from the New York area. But over the course of the next few days, we will see different areas being hit at different times with the highest concentrations. I was going to ask you about more fires start burning. I don\\u0027t expect the concentrations to go up too much higher. I was going to ask you how and you started to answer this, but how much longer could this last? Or forgive me if I\\u0027m asking you to speculate, but what do you think? Well, I think the fires are going to burn for a little bit longer, but the key for us in the US. Is the weather system changing. And so right now, it\\u0027s kind of the weather systems that are pulling that air into our mid Atlantic and Northeast region. As those weather systems change and shift, we\\u0027ll see that smoke going elsewhere and not impact us in this region as much. And so I think that\\u0027s going to be the defining factor. And I think the next couple of days we\\u0027re going to see a shift in that weather pattern and start to push the smoke away from where we are. And finally, with the impacts of climate change, we are seeing more wildfires. Will we be seeing more of these kinds of wide ranging air quality consequences or circumstances? I mean, that is one of the predictions for climate change. Looking into the future, the fire season is starting earlier and lasting longer, and we\\u0027re seeing more frequent fires. So, yeah, this is probably something that we\\u0027ll be seeing more frequently. This tends to be much more of an issue in the Western US. So the eastern US. Getting hit right now is a little bit new. But yeah, I think with climate change moving forward, this is something that is going to happen more frequently. That\\u0027s Peter De Carlo, associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University. Sergeant Carlo, thanks so much for joining us and sharing this expertise with us. Thank you for having me.\u0022,\n// \u0022words\u0022: [\n// {\n// \u0022text\u0022: \u0022Smoke\u0022,\n// \u0022start\u0022: 250,\n// \u0022end\u0022: 650,\n// \u0022confidence\u0022: 0.97465,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022from\u0022,\n// \u0022start\u0022: 730,\n// \u0022end\u0022: 1022,\n// \u0022confidence\u0022: 0.99999,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022hundreds\u0022,\n// \u0022start\u0022: 1076,\n// \u0022end\u0022: 1418,\n// \u0022confidence\u0022: 0.99844,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022of\u0022,\n// \u0022start\u0022: 1434,\n// \u0022end\u0022: 1614,\n// \u0022confidence\u0022: 0.84,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022wildfires\u0022,\n// \u0022start\u0022: 1652,\n// \u0022end\u0022: 2346,\n// \u0022confidence\u0022: 0.89572,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022in\u0022,\n// \u0022start\u0022: 2378,\n// \u0022end\u0022: 2526,\n// \u0022confidence\u0022: 0.99994,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022Canada\u0022,\n// \u0022start\u0022: 2548,\n// \u0022end\u0022: 3130,\n// \u0022confidence\u0022: 0.93953,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022is\u0022,\n// \u0022start\u0022: 3210,\n// \u0022end\u0022: 3454,\n// \u0022confidence\u0022: 0.999,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022triggering\u0022,\n// \u0022start\u0022: 3492,\n// \u0022end\u0022: 3946,\n// \u0022confidence\u0022: 0.74794,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022air\u0022,\n// \u0022start\u0022: 3978,\n// \u0022end\u0022: 4174,\n// \u0022confidence\u0022: 1.0,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022quality\u0022,\n// \u0022start\u0022: 4212,\n// \u0022end\u0022: 4558,\n// \u0022confidence\u0022: 0.88077,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022alerts\u0022,\n// \u0022start\u0022: 4644,\n// \u0022end\u0022: 5114,\n// \u0022confidence\u0022: 0.94814,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022throughout\u0022,\n// \u0022start\u0022: 5162,\n// \u0022end\u0022: 5466,\n// \u0022confidence\u0022: 0.99726,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022the\u0022,\n// \u0022start\u0022: 5498,\n// \u0022end\u0022: 5694,\n// \u0022confidence\u0022: 0.79,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022US.\u0022,\n// \u0022start\u0022: 5732,\n// \u0022end\u0022: 6382,\n// \u0022confidence\u0022: 0.89,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// }\n// ],\n// \u0022utterances\u0022: [\n// {\n// \u0022confidence\u0022: 0.9359033333333334,\n// \u0022end\u0022: 26950,\n// \u0022speaker\u0022: \u0022A\u0022,\n// \u0022start\u0022: 250,\n// \u0022text\u0022: \u0022Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what\\u0027s happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor.\u0022,\n// \u0022words\u0022: [\n// {\n// \u0022text\u0022: \u0022Smoke\u0022,\n// \u0022start\u0022: 250,\n// \u0022end\u0022: 650,\n// \u0022confidence\u0022: 0.97503,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022from\u0022,\n// \u0022start\u0022: 730,\n// \u0022end\u0022: 1022,\n// \u0022confidence\u0022: 0.99999,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022hundreds\u0022,\n// \u0022start\u0022: 1076,\n// \u0022end\u0022: 1418,\n// \u0022confidence\u0022: 0.99843,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022of\u0022,\n// \u0022start\u0022: 1434,\n// \u0022end\u0022: 1614,\n// \u0022confidence\u0022: 0.85,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022wildfires\u0022,\n// \u0022start\u0022: 1652,\n// \u0022end\u0022: 2346,\n// \u0022confidence\u0022: 0.89657,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022in\u0022,\n// \u0022start\u0022: 2378,\n// \u0022end\u0022: 2526,\n// \u0022confidence\u0022: 0.99994,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022Canada\u0022,\n// \u0022start\u0022: 2548,\n// \u0022end\u0022: 3130,\n// \u0022confidence\u0022: 0.93864,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022is\u0022,\n// \u0022start\u0022: 3210,\n// \u0022end\u0022: 3454,\n// \u0022confidence\u0022: 0.999,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022triggering\u0022,\n// \u0022start\u0022: 3492,\n// \u0022end\u0022: 3946,\n// \u0022confidence\u0022: 0.75366,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022air\u0022,\n// \u0022start\u0022: 3978,\n// \u0022end\u0022: 4174,\n// \u0022confidence\u0022: 1.0,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022quality\u0022,\n// \u0022start\u0022: 4212,\n// \u0022end\u0022: 4558,\n// \u0022confidence\u0022: 0.87745,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022alerts\u0022,\n// \u0022start\u0022: 4644,\n// \u0022end\u0022: 5114,\n// \u0022confidence\u0022: 0.94739,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022throughout\u0022,\n// \u0022start\u0022: 5162,\n// \u0022end\u0022: 5466,\n// \u0022confidence\u0022: 0.99726,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022the\u0022,\n// \u0022start\u0022: 5498,\n// \u0022end\u0022: 5694,\n// \u0022confidence\u0022: 0.79,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022US.\u0022,\n// \u0022start\u0022: 5732,\n// \u0022end\u0022: 6382,\n// \u0022confidence\u0022: 0.88,\n// \u0022speaker\u0022: \u0022A\u0022\n// }\n// ]\n// }\n// ],\n// \u0022confidence\u0022: 0.9404651451800253,\n// \u0022audio_duration\u0022: 281,\n// \u0022punctuate\u0022: true,\n// \u0022format_text\u0022: true,\n// \u0022multichannel\u0022: false,\n// \u0022webhook_url\u0022: \u0022https://your-webhook-url.tld/path\u0022,\n// \u0022webhook_status_code\u0022: 200,\n// \u0022webhook_auth\u0022: true,\n// \u0022webhook_auth_header_name\u0022: \u0022webhook-secret\u0022,\n// \u0022auto_highlights_result\u0022: {\n// \u0022status\u0022: \u0022success\u0022,\n// \u0022results\u0022: [\n// {\n// \u0022count\u0022: 1,\n// \u0022rank\u0022: 0.08,\n// \u0022text\u0022: \u0022air quality alerts\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 3978,\n// \u0022end\u0022: 5114\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 1,\n// \u0022rank\u0022: 0.08,\n// \u0022text\u0022: \u0022wide ranging air quality consequences\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 235388,\n// \u0022end\u0022: 238694\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 1,\n// \u0022rank\u0022: 0.07,\n// \u0022text\u0022: \u0022more wildfires\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 230972,\n// \u0022end\u0022: 232354\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 1,\n// \u0022rank\u0022: 0.07,\n// \u0022text\u0022: \u0022air pollution\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 156004,\n// \u0022end\u0022: 156910\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 3,\n// \u0022rank\u0022: 0.07,\n// \u0022text\u0022: \u0022weather systems\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 47344,\n// \u0022end\u0022: 47958\n// },\n// {\n// \u0022start\u0022: 205268,\n// \u0022end\u0022: 205818\n// },\n// {\n// \u0022start\u0022: 211588,\n// \u0022end\u0022: 213434\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 2,\n// \u0022rank\u0022: 0.06,\n// \u0022text\u0022: \u0022high levels\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 121128,\n// \u0022end\u0022: 121646\n// },\n// {\n// \u0022start\u0022: 155412,\n// \u0022end\u0022: 155866\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 1,\n// \u0022rank\u0022: 0.06,\n// \u0022text\u0022: \u0022health conditions\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 152138,\n// \u0022end\u0022: 152666\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 2,\n// \u0022rank\u0022: 0.06,\n// \u0022text\u0022: \u0022Peter de Carlo\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 18948,\n// \u0022end\u0022: 19930\n// },\n// {\n// \u0022start\u0022: 268298,\n// \u0022end\u0022: 269194\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 1,\n// \u0022rank\u0022: 0.06,\n// \u0022text\u0022: \u0022New York City\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 125768,\n// \u0022end\u0022: 126274\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 1,\n// \u0022rank\u0022: 0.05,\n// \u0022text\u0022: \u0022respiratory conditions\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 152964,\n// \u0022end\u0022: 153786\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 3,\n// \u0022rank\u0022: 0.05,\n// \u0022text\u0022: \u0022New York\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 125768,\n// \u0022end\u0022: 126034\n// },\n// {\n// \u0022start\u0022: 171448,\n// \u0022end\u0022: 171938\n// },\n// {\n// \u0022start\u0022: 176008,\n// \u0022end\u0022: 176322\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 3,\n// \u0022rank\u0022: 0.05,\n// \u0022text\u0022: \u0022climate change\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 229548,\n// \u0022end\u0022: 230230\n// },\n// {\n// \u0022start\u0022: 244576,\n// \u0022end\u0022: 245162\n// },\n// {\n// \u0022start\u0022: 263348,\n// \u0022end\u0022: 263950\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 1,\n// \u0022rank\u0022: 0.05,\n// \u0022text\u0022: \u0022Johns Hopkins University Varsity\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 23972,\n// \u0022end\u0022: 25490\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 1,\n// \u0022rank\u0022: 0.05,\n// \u0022text\u0022: \u0022heart conditions\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 153988,\n// \u0022end\u0022: 154506\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 1,\n// \u0022rank\u0022: 0.05,\n// \u0022text\u0022: \u0022air quality warnings\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 12308,\n// \u0022end\u0022: 13434\n// }\n// ]\n// }\n// ]\n// },\n// \u0022auto_highlights\u0022: true,\n// \u0022audio_start_from\u0022: 10,\n// \u0022audio_end_at\u0022: 280,\n// \u0022filter_profanity\u0022: true,\n// \u0022redact_pii\u0022: true,\n// \u0022redact_pii_audio\u0022: true,\n// \u0022redact_pii_audio_quality\u0022: \u0022mp3\u0022,\n// \u0022redact_pii_policies\u0022: [\n// \u0022us_social_security_number\u0022,\n// \u0022credit_card_number\u0022\n// ],\n// \u0022redact_pii_sub\u0022: \u0022hash\u0022,\n// \u0022speaker_labels\u0022: true,\n// \u0022content_safety\u0022: true,\n// \u0022iab_categories\u0022: true,\n// \u0022content_safety_labels\u0022: {\n// \u0022status\u0022: \u0022success\u0022,\n// \u0022results\u0022: [\n// {\n// \u0022text\u0022: \u0022Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what\\u0027s happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning.\u0022,\n// \u0022labels\u0022: [\n// {\n// \u0022label\u0022: \u0022disasters\u0022,\n// \u0022confidence\u0022: 0.8142836093902588,\n// \u0022severity\u0022: 0.4093044400215149\n// }\n// ],\n// \u0022sentences_idx_start\u0022: 0,\n// \u0022sentences_idx_end\u0022: 5,\n// \u0022timestamp\u0022: {\n// \u0022start\u0022: 250,\n// \u0022end\u0022: 28840\n// }\n// }\n// ],\n// \u0022summary\u0022: {\n// \u0022disasters\u0022: 0.9940800441842205,\n// \u0022health_issues\u0022: 0.9216489289040967\n// },\n// \u0022severity_score_summary\u0022: {\n// \u0022disasters\u0022: {\n// \u0022low\u0022: 0.5733263024656846,\n// \u0022medium\u0022: 0.42667369753431533,\n// \u0022high\u0022: 0.0\n// },\n// \u0022health_issues\u0022: {\n// \u0022low\u0022: 0.22863814977924785,\n// \u0022medium\u0022: 0.45014154926938227,\n// \u0022high\u0022: 0.32122030095136983\n// }\n// }\n// },\n// \u0022iab_categories_result\u0022: {\n// \u0022status\u0022: \u0022success\u0022,\n// \u0022results\u0022: [\n// {\n// \u0022text\u0022: \u0022Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what\\u0027s happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning.\u0022,\n// \u0022labels\u0022: [\n// {\n// \u0022relevance\u0022: 0.988274097442627,\n// \u0022label\u0022: \u0022Home\\u0026Garden\\u003EIndoorEnvironmentalQuality\u0022\n// },\n// {\n// \u0022relevance\u0022: 0.5821335911750793,\n// \u0022label\u0022: \u0022NewsAndPolitics\\u003EWeather\u0022\n// },\n// {\n// \u0022relevance\u0022: 0.0042327106930315495,\n// \u0022label\u0022: \u0022MedicalHealth\\u003EDiseasesAndConditions\\u003ELungAndRespiratoryHealth\u0022\n// },\n// {\n// \u0022relevance\u0022: 0.0033971222583204508,\n// \u0022label\u0022: \u0022NewsAndPolitics\\u003EDisasters\u0022\n// },\n// {\n// \u0022relevance\u0022: 0.002469958271831274,\n// \u0022label\u0022: \u0022BusinessAndFinance\\u003EBusiness\\u003EGreenSolutions\u0022\n// },\n// {\n// \u0022relevance\u0022: 0.0014376690378412604,\n// \u0022label\u0022: \u0022MedicalHealth\\u003EDiseasesAndConditions\\u003ECancer\u0022\n// },\n// {\n// \u0022relevance\u0022: 0.0014294233405962586,\n// \u0022label\u0022: \u0022Science\\u003EEnvironment\u0022\n// },\n// {\n// \u0022relevance\u0022: 0.001234519761055708,\n// \u0022label\u0022: \u0022Travel\\u003ETravelLocations\\u003EPolarTravel\u0022\n// },\n// {\n// \u0022relevance\u0022: 0.0010231725173071027,\n// \u0022label\u0022: \u0022MedicalHealth\\u003EDiseasesAndConditions\\u003EColdAndFlu\u0022\n// },\n// {\n// \u0022relevance\u0022: 0.0007445293595083058,\n// \u0022label\u0022: \u0022BusinessAndFinance\\u003EIndustries\\u003EPowerAndEnergyIndustry\u0022\n// }\n// ],\n// \u0022timestamp\u0022: {\n// \u0022start\u0022: 250,\n// \u0022end\u0022: 28840\n// }\n// }\n// ],\n// \u0022summary\u0022: {\n// \u0022NewsAndPolitics\\u003EWeather\u0022: 1.0,\n// \u0022Home\\u0026Garden\\u003EIndoorEnvironmentalQuality\u0022: 0.9043831825256348,\n// \u0022Science\\u003EEnvironment\u0022: 0.16117265820503235,\n// \u0022BusinessAndFinance\\u003EIndustries\\u003EEnvironmentalServicesIndustry\u0022: 0.14393523335456848,\n// \u0022MedicalHealth\\u003EDiseasesAndConditions\\u003ELungAndRespiratoryHealth\u0022: 0.11401086300611496,\n// \u0022BusinessAndFinance\\u003EBusiness\\u003EGreenSolutions\u0022: 0.06348437070846558,\n// \u0022NewsAndPolitics\\u003EDisasters\u0022: 0.05041387677192688,\n// \u0022Travel\\u003ETravelLocations\\u003EPolarTravel\u0022: 0.01308488193899393,\n// \u0022HealthyLiving\u0022: 0.008222488686442375,\n// \u0022MedicalHealth\\u003EDiseasesAndConditions\\u003EColdAndFlu\u0022: 0.0022315620444715023,\n// \u0022MedicalHealth\\u003EDiseasesAndConditions\\u003EHeartAndCardiovascularDiseases\u0022: 0.00213034451007843,\n// \u0022HealthyLiving\\u003EWellness\\u003ESmokingCessation\u0022: 0.001540527562610805,\n// \u0022MedicalHealth\\u003EDiseasesAndConditions\\u003EInjuries\u0022: 0.0013950627762824297,\n// \u0022BusinessAndFinance\\u003EIndustries\\u003EPowerAndEnergyIndustry\u0022: 0.0012570273829624057,\n// \u0022MedicalHealth\\u003EDiseasesAndConditions\\u003ECancer\u0022: 0.001097781932912767,\n// \u0022MedicalHealth\\u003EDiseasesAndConditions\\u003EAllergies\u0022: 0.0010148967849090695,\n// \u0022MedicalHealth\\u003EDiseasesAndConditions\\u003EMentalHealth\u0022: 0.000717321818228811,\n// \u0022Style\\u0026Fashion\\u003EPersonalCare\\u003EDeodorantAndAntiperspirant\u0022: 0.0006022014422342181,\n// \u0022Technology\\u0026Computing\\u003EComputing\\u003EComputerNetworking\u0022: 0.0005461975233629346,\n// \u0022MedicalHealth\\u003EDiseasesAndConditions\\u003EInjuries\\u003EFirstAid\u0022: 0.0004885646631009877\n// }\n// },\n// \u0022custom_spelling\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022,\n// \u0022throttled\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022,\n// \u0022auto_chapters\u0022: false,\n// \u0022summarization\u0022: false,\n// \u0022summary_type\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022,\n// \u0022summary_model\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022,\n// \u0022custom_topics\u0022: true,\n// \u0022topics\u0022: [],\n// \u0022speech_threshold\u0022: 0.5,\n// \u0022remove_audio_tags\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022,\n// \u0022domain\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022,\n// \u0022disfluencies\u0022: false,\n// \u0022sentiment_analysis\u0022: true,\n// \u0022sentiment_analysis_results\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022,\n// \u0022entity_detection\u0022: true,\n// \u0022entities\u0022: [\n// {\n// \u0022entity_type\u0022: \u0022location\u0022,\n// \u0022text\u0022: \u0022Canada\u0022,\n// \u0022start\u0022: 2548,\n// \u0022end\u0022: 3130\n// },\n// {\n// \u0022entity_type\u0022: \u0022location\u0022,\n// \u0022text\u0022: \u0022the US\u0022,\n// \u0022start\u0022: 5498,\n// \u0022end\u0022: 6382\n// },\n// {\n// \u0022entity_type\u0022: \u0022location\u0022,\n// \u0022text\u0022: \u0022Maine\u0022,\n// \u0022start\u0022: 7492,\n// \u0022end\u0022: 7914\n// },\n// {\n// \u0022entity_type\u0022: \u0022location\u0022,\n// \u0022text\u0022: \u0022Maryland\u0022,\n// \u0022start\u0022: 8212,\n// \u0022end\u0022: 8634\n// },\n// {\n// \u0022entity_type\u0022: \u0022location\u0022,\n// \u0022text\u0022: \u0022Minnesota\u0022,\n// \u0022start\u0022: 8932,\n// \u0022end\u0022: 9578\n// },\n// {\n// \u0022entity_type\u0022: \u0022person_name\u0022,\n// \u0022text\u0022: \u0022Peter de Carlo\u0022,\n// \u0022start\u0022: 18948,\n// \u0022end\u0022: 19930\n// },\n// {\n// \u0022entity_type\u0022: \u0022occupation\u0022,\n// \u0022text\u0022: \u0022associate professor\u0022,\n// \u0022start\u0022: 20292,\n// \u0022end\u0022: 21194\n// },\n// {\n// \u0022entity_type\u0022: \u0022organization\u0022,\n// \u0022text\u0022: \u0022Department of Environmental Health and Engineering\u0022,\n// \u0022start\u0022: 21508,\n// \u0022end\u0022: 23706\n// },\n// {\n// \u0022entity_type\u0022: \u0022organization\u0022,\n// \u0022text\u0022: \u0022Johns Hopkins University Varsity\u0022,\n// \u0022start\u0022: 23972,\n// \u0022end\u0022: 25490\n// },\n// {\n// \u0022entity_type\u0022: \u0022occupation\u0022,\n// \u0022text\u0022: \u0022professor\u0022,\n// \u0022start\u0022: 26076,\n// \u0022end\u0022: 26950\n// },\n// {\n// \u0022entity_type\u0022: \u0022location\u0022,\n// \u0022text\u0022: \u0022the US\u0022,\n// \u0022start\u0022: 45184,\n// \u0022end\u0022: 45898\n// },\n// {\n// \u0022entity_type\u0022: \u0022nationality\u0022,\n// \u0022text\u0022: \u0022Canadian\u0022,\n// \u0022start\u0022: 49728,\n// \u0022end\u0022: 50086\n// }\n// ],\n// \u0022chapters\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022,\n// \u0022summary\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022,\n// \u0022speakers_expected\u0022: 2\n// }",
+ "Code": "using var client = new AssemblyAIClient(apiKey);\n\nvar request = global::System.Text.Json.JsonSerializer.Deserialize\u003Cglobal::AssemblyAI.TranscriptParams\u003E(\n @\u0022{\n \u0022\u0022speech_model\u0022\u0022: \u0022\u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\u0022,\n \u0022\u0022language_code\u0022\u0022: \u0022\u0022en_us\u0022\u0022,\n \u0022\u0022language_detection\u0022\u0022: true,\n \u0022\u0022language_confidence_threshold\u0022\u0022: 0.7,\n \u0022\u0022audio_url\u0022\u0022: \u0022\u0022https://assembly.ai/wildfires.mp3\u0022\u0022,\n \u0022\u0022punctuate\u0022\u0022: true,\n \u0022\u0022format_text\u0022\u0022: true,\n \u0022\u0022multichannel\u0022\u0022: true,\n \u0022\u0022webhook_url\u0022\u0022: \u0022\u0022https://your-webhook-url/path\u0022\u0022,\n \u0022\u0022webhook_auth_header_name\u0022\u0022: \u0022\u0022webhook-secret\u0022\u0022,\n \u0022\u0022webhook_auth_header_value\u0022\u0022: \u0022\u0022webhook-secret-value\u0022\u0022,\n \u0022\u0022auto_highlights\u0022\u0022: true,\n \u0022\u0022audio_start_from\u0022\u0022: 10,\n \u0022\u0022audio_end_at\u0022\u0022: 280,\n \u0022\u0022filter_profanity\u0022\u0022: true,\n \u0022\u0022redact_pii\u0022\u0022: true,\n \u0022\u0022redact_pii_audio\u0022\u0022: true,\n \u0022\u0022redact_pii_audio_quality\u0022\u0022: \u0022\u0022mp3\u0022\u0022,\n \u0022\u0022redact_pii_policies\u0022\u0022: [\n \u0022\u0022us_social_security_number\u0022\u0022,\n \u0022\u0022credit_card_number\u0022\u0022\n ],\n \u0022\u0022redact_pii_sub\u0022\u0022: \u0022\u0022hash\u0022\u0022,\n \u0022\u0022speaker_labels\u0022\u0022: true,\n \u0022\u0022speakers_expected\u0022\u0022: 2,\n \u0022\u0022content_safety\u0022\u0022: true,\n \u0022\u0022iab_categories\u0022\u0022: true,\n \u0022\u0022custom_spelling\u0022\u0022: [],\n \u0022\u0022disfluencies\u0022\u0022: false,\n \u0022\u0022sentiment_analysis\u0022\u0022: true,\n \u0022\u0022auto_chapters\u0022\u0022: false,\n \u0022\u0022entity_detection\u0022\u0022: true,\n \u0022\u0022speech_threshold\u0022\u0022: 0.5,\n \u0022\u0022summarization\u0022\u0022: false,\n \u0022\u0022summary_model\u0022\u0022: \u0022\u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\u0022,\n \u0022\u0022summary_type\u0022\u0022: \u0022\u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\u0022,\n \u0022\u0022custom_topics\u0022\u0022: true,\n \u0022\u0022topics\u0022\u0022: [],\n \u0022\u0022remove_audio_tags\u0022\u0022: \u0022\u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\u0022,\n \u0022\u0022domain\u0022\u0022: \u0022\u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\u0022,\n \u0022\u0022speech_understanding\u0022\u0022: {\n \u0022\u0022request\u0022\u0022: {\n \u0022\u0022translation\u0022\u0022: {\n \u0022\u0022target_languages\u0022\u0022: [\n \u0022\u0022es\u0022\u0022,\n \u0022\u0022de\u0022\u0022\n ],\n \u0022\u0022formal\u0022\u0022: true,\n \u0022\u0022match_original_utterance\u0022\u0022: true\n }\n }\n }\n}\u0022)!;\n\nvar response = await client.Transcripts.SubmitAsync(\n request: request\n);\n\n// Example response:\n// {\n// \u0022id\u0022: \u00229ea68fd3-f953-42c1-9742-976c447fb463\u0022,\n// \u0022speech_model\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022,\n// \u0022language_model\u0022: \u0022assemblyai_default\u0022,\n// \u0022acoustic_model\u0022: \u0022assemblyai_default\u0022,\n// \u0022language_code\u0022: \u0022en_us\u0022,\n// \u0022language_detection\u0022: true,\n// \u0022language_confidence_threshold\u0022: 0.7,\n// \u0022language_confidence\u0022: 0.9959,\n// \u0022status\u0022: \u0022completed\u0022,\n// \u0022audio_url\u0022: \u0022https://assembly.ai/wildfires.mp3\u0022,\n// \u0022text\u0022: \u0022Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what\\u0027s happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning. What is it about the conditions right now that have caused this round of wildfires to affect so many people so far away? Well, there\\u0027s a couple of things. The season has been pretty dry already. And then the fact that we\\u0027re getting hit in the US. Is because there\\u0027s a couple of weather systems that are essentially channeling the smoke from those Canadian wildfires through Pennsylvania into the Mid Atlantic and the Northeast and kind of just dropping the smoke there. So what is it in this haze that makes it harmful? And I\\u0027m assuming it is harmful. It is. The levels outside right now in Baltimore are considered unhealthy. And most of that is due to what\\u0027s called particulate matter, which are tiny particles, microscopic smaller than the width of your hair that can get into your lungs and impact your respiratory system, your cardiovascular system, and even your neurological your brain. What makes this particularly harmful? Is it the volume of particulant? Is it something in particular? What is it exactly? Can you just drill down on that a little bit more? Yeah. So the concentration of particulate matter I was looking at some of the monitors that we have was reaching levels of what are, in science, big 150 micrograms per meter cubed, which is more than ten times what the annual average should be and about four times higher than what you\\u0027re supposed to have on a 24 hours average. And so the concentrations of these particles in the air are just much, much higher than we typically see. And exposure to those high levels can lead to a host of health problems. And who is most vulnerable? I noticed that in New York City, for example, they\\u0027re canceling outdoor activities. And so here it is in the early days of summer, and they have to keep all the kids inside. So who tends to be vulnerable in a situation like this? It\\u0027s the youngest. So children, obviously, whose bodies are still developing. The elderly, who are their bodies are more in decline and they\\u0027re more susceptible to the health impacts of breathing, the poor air quality. And then people who have preexisting health conditions, people with respiratory conditions or heart conditions can be triggered by high levels of air pollution. Could this get worse? That\\u0027s a good question. In some areas, it\\u0027s much worse than others. And it just depends on kind of where the smoke is concentrated. I think New York has some of the higher concentrations right now, but that\\u0027s going to change as that air moves away from the New York area. But over the course of the next few days, we will see different areas being hit at different times with the highest concentrations. I was going to ask you about more fires start burning. I don\\u0027t expect the concentrations to go up too much higher. I was going to ask you how and you started to answer this, but how much longer could this last? Or forgive me if I\\u0027m asking you to speculate, but what do you think? Well, I think the fires are going to burn for a little bit longer, but the key for us in the US. Is the weather system changing. And so right now, it\\u0027s kind of the weather systems that are pulling that air into our mid Atlantic and Northeast region. As those weather systems change and shift, we\\u0027ll see that smoke going elsewhere and not impact us in this region as much. And so I think that\\u0027s going to be the defining factor. And I think the next couple of days we\\u0027re going to see a shift in that weather pattern and start to push the smoke away from where we are. And finally, with the impacts of climate change, we are seeing more wildfires. Will we be seeing more of these kinds of wide ranging air quality consequences or circumstances? I mean, that is one of the predictions for climate change. Looking into the future, the fire season is starting earlier and lasting longer, and we\\u0027re seeing more frequent fires. So, yeah, this is probably something that we\\u0027ll be seeing more frequently. This tends to be much more of an issue in the Western US. So the eastern US. Getting hit right now is a little bit new. But yeah, I think with climate change moving forward, this is something that is going to happen more frequently. That\\u0027s Peter De Carlo, associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University. Sergeant Carlo, thanks so much for joining us and sharing this expertise with us. Thank you for having me.\u0022,\n// \u0022words\u0022: [\n// {\n// \u0022text\u0022: \u0022Smoke\u0022,\n// \u0022start\u0022: 250,\n// \u0022end\u0022: 650,\n// \u0022confidence\u0022: 0.97465,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022from\u0022,\n// \u0022start\u0022: 730,\n// \u0022end\u0022: 1022,\n// \u0022confidence\u0022: 0.99999,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022hundreds\u0022,\n// \u0022start\u0022: 1076,\n// \u0022end\u0022: 1418,\n// \u0022confidence\u0022: 0.99844,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022of\u0022,\n// \u0022start\u0022: 1434,\n// \u0022end\u0022: 1614,\n// \u0022confidence\u0022: 0.84,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022wildfires\u0022,\n// \u0022start\u0022: 1652,\n// \u0022end\u0022: 2346,\n// \u0022confidence\u0022: 0.89572,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022in\u0022,\n// \u0022start\u0022: 2378,\n// \u0022end\u0022: 2526,\n// \u0022confidence\u0022: 0.99994,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022Canada\u0022,\n// \u0022start\u0022: 2548,\n// \u0022end\u0022: 3130,\n// \u0022confidence\u0022: 0.93953,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022is\u0022,\n// \u0022start\u0022: 3210,\n// \u0022end\u0022: 3454,\n// \u0022confidence\u0022: 0.999,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022triggering\u0022,\n// \u0022start\u0022: 3492,\n// \u0022end\u0022: 3946,\n// \u0022confidence\u0022: 0.74794,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022air\u0022,\n// \u0022start\u0022: 3978,\n// \u0022end\u0022: 4174,\n// \u0022confidence\u0022: 1,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022quality\u0022,\n// \u0022start\u0022: 4212,\n// \u0022end\u0022: 4558,\n// \u0022confidence\u0022: 0.88077,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022alerts\u0022,\n// \u0022start\u0022: 4644,\n// \u0022end\u0022: 5114,\n// \u0022confidence\u0022: 0.94814,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022throughout\u0022,\n// \u0022start\u0022: 5162,\n// \u0022end\u0022: 5466,\n// \u0022confidence\u0022: 0.99726,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022the\u0022,\n// \u0022start\u0022: 5498,\n// \u0022end\u0022: 5694,\n// \u0022confidence\u0022: 0.79,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// },\n// {\n// \u0022text\u0022: \u0022US.\u0022,\n// \u0022start\u0022: 5732,\n// \u0022end\u0022: 6382,\n// \u0022confidence\u0022: 0.89,\n// \u0022speaker\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022\n// }\n// ],\n// \u0022utterances\u0022: [\n// {\n// \u0022confidence\u0022: 0.9359033333333334,\n// \u0022end\u0022: 26950,\n// \u0022speaker\u0022: \u0022A\u0022,\n// \u0022start\u0022: 250,\n// \u0022text\u0022: \u0022Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what\\u0027s happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor.\u0022,\n// \u0022words\u0022: [\n// {\n// \u0022text\u0022: \u0022Smoke\u0022,\n// \u0022start\u0022: 250,\n// \u0022end\u0022: 650,\n// \u0022confidence\u0022: 0.97503,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022from\u0022,\n// \u0022start\u0022: 730,\n// \u0022end\u0022: 1022,\n// \u0022confidence\u0022: 0.99999,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022hundreds\u0022,\n// \u0022start\u0022: 1076,\n// \u0022end\u0022: 1418,\n// \u0022confidence\u0022: 0.99843,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022of\u0022,\n// \u0022start\u0022: 1434,\n// \u0022end\u0022: 1614,\n// \u0022confidence\u0022: 0.85,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022wildfires\u0022,\n// \u0022start\u0022: 1652,\n// \u0022end\u0022: 2346,\n// \u0022confidence\u0022: 0.89657,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022in\u0022,\n// \u0022start\u0022: 2378,\n// \u0022end\u0022: 2526,\n// \u0022confidence\u0022: 0.99994,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022Canada\u0022,\n// \u0022start\u0022: 2548,\n// \u0022end\u0022: 3130,\n// \u0022confidence\u0022: 0.93864,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022is\u0022,\n// \u0022start\u0022: 3210,\n// \u0022end\u0022: 3454,\n// \u0022confidence\u0022: 0.999,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022triggering\u0022,\n// \u0022start\u0022: 3492,\n// \u0022end\u0022: 3946,\n// \u0022confidence\u0022: 0.75366,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022air\u0022,\n// \u0022start\u0022: 3978,\n// \u0022end\u0022: 4174,\n// \u0022confidence\u0022: 1,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022quality\u0022,\n// \u0022start\u0022: 4212,\n// \u0022end\u0022: 4558,\n// \u0022confidence\u0022: 0.87745,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022alerts\u0022,\n// \u0022start\u0022: 4644,\n// \u0022end\u0022: 5114,\n// \u0022confidence\u0022: 0.94739,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022throughout\u0022,\n// \u0022start\u0022: 5162,\n// \u0022end\u0022: 5466,\n// \u0022confidence\u0022: 0.99726,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022the\u0022,\n// \u0022start\u0022: 5498,\n// \u0022end\u0022: 5694,\n// \u0022confidence\u0022: 0.79,\n// \u0022speaker\u0022: \u0022A\u0022\n// },\n// {\n// \u0022text\u0022: \u0022US.\u0022,\n// \u0022start\u0022: 5732,\n// \u0022end\u0022: 6382,\n// \u0022confidence\u0022: 0.88,\n// \u0022speaker\u0022: \u0022A\u0022\n// }\n// ]\n// }\n// ],\n// \u0022confidence\u0022: 0.9404651451800253,\n// \u0022audio_duration\u0022: 281,\n// \u0022punctuate\u0022: true,\n// \u0022format_text\u0022: true,\n// \u0022multichannel\u0022: false,\n// \u0022webhook_url\u0022: \u0022https://your-webhook-url.tld/path\u0022,\n// \u0022webhook_status_code\u0022: 200,\n// \u0022webhook_auth\u0022: true,\n// \u0022webhook_auth_header_name\u0022: \u0022webhook-secret\u0022,\n// \u0022auto_highlights_result\u0022: {\n// \u0022status\u0022: \u0022success\u0022,\n// \u0022results\u0022: [\n// {\n// \u0022count\u0022: 1,\n// \u0022rank\u0022: 0.08,\n// \u0022text\u0022: \u0022air quality alerts\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 3978,\n// \u0022end\u0022: 5114\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 1,\n// \u0022rank\u0022: 0.08,\n// \u0022text\u0022: \u0022wide ranging air quality consequences\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 235388,\n// \u0022end\u0022: 238694\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 1,\n// \u0022rank\u0022: 0.07,\n// \u0022text\u0022: \u0022more wildfires\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 230972,\n// \u0022end\u0022: 232354\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 1,\n// \u0022rank\u0022: 0.07,\n// \u0022text\u0022: \u0022air pollution\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 156004,\n// \u0022end\u0022: 156910\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 3,\n// \u0022rank\u0022: 0.07,\n// \u0022text\u0022: \u0022weather systems\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 47344,\n// \u0022end\u0022: 47958\n// },\n// {\n// \u0022start\u0022: 205268,\n// \u0022end\u0022: 205818\n// },\n// {\n// \u0022start\u0022: 211588,\n// \u0022end\u0022: 213434\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 2,\n// \u0022rank\u0022: 0.06,\n// \u0022text\u0022: \u0022high levels\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 121128,\n// \u0022end\u0022: 121646\n// },\n// {\n// \u0022start\u0022: 155412,\n// \u0022end\u0022: 155866\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 1,\n// \u0022rank\u0022: 0.06,\n// \u0022text\u0022: \u0022health conditions\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 152138,\n// \u0022end\u0022: 152666\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 2,\n// \u0022rank\u0022: 0.06,\n// \u0022text\u0022: \u0022Peter de Carlo\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 18948,\n// \u0022end\u0022: 19930\n// },\n// {\n// \u0022start\u0022: 268298,\n// \u0022end\u0022: 269194\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 1,\n// \u0022rank\u0022: 0.06,\n// \u0022text\u0022: \u0022New York City\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 125768,\n// \u0022end\u0022: 126274\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 1,\n// \u0022rank\u0022: 0.05,\n// \u0022text\u0022: \u0022respiratory conditions\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 152964,\n// \u0022end\u0022: 153786\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 3,\n// \u0022rank\u0022: 0.05,\n// \u0022text\u0022: \u0022New York\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 125768,\n// \u0022end\u0022: 126034\n// },\n// {\n// \u0022start\u0022: 171448,\n// \u0022end\u0022: 171938\n// },\n// {\n// \u0022start\u0022: 176008,\n// \u0022end\u0022: 176322\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 3,\n// \u0022rank\u0022: 0.05,\n// \u0022text\u0022: \u0022climate change\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 229548,\n// \u0022end\u0022: 230230\n// },\n// {\n// \u0022start\u0022: 244576,\n// \u0022end\u0022: 245162\n// },\n// {\n// \u0022start\u0022: 263348,\n// \u0022end\u0022: 263950\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 1,\n// \u0022rank\u0022: 0.05,\n// \u0022text\u0022: \u0022Johns Hopkins University Varsity\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 23972,\n// \u0022end\u0022: 25490\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 1,\n// \u0022rank\u0022: 0.05,\n// \u0022text\u0022: \u0022heart conditions\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 153988,\n// \u0022end\u0022: 154506\n// }\n// ]\n// },\n// {\n// \u0022count\u0022: 1,\n// \u0022rank\u0022: 0.05,\n// \u0022text\u0022: \u0022air quality warnings\u0022,\n// \u0022timestamps\u0022: [\n// {\n// \u0022start\u0022: 12308,\n// \u0022end\u0022: 13434\n// }\n// ]\n// }\n// ]\n// },\n// \u0022auto_highlights\u0022: true,\n// \u0022audio_start_from\u0022: 10,\n// \u0022audio_end_at\u0022: 280,\n// \u0022filter_profanity\u0022: true,\n// \u0022redact_pii\u0022: true,\n// \u0022redact_pii_audio\u0022: true,\n// \u0022redact_pii_audio_quality\u0022: \u0022mp3\u0022,\n// \u0022redact_pii_policies\u0022: [\n// \u0022us_social_security_number\u0022,\n// \u0022credit_card_number\u0022\n// ],\n// \u0022redact_pii_sub\u0022: \u0022hash\u0022,\n// \u0022speaker_labels\u0022: true,\n// \u0022content_safety\u0022: true,\n// \u0022iab_categories\u0022: true,\n// \u0022content_safety_labels\u0022: {\n// \u0022status\u0022: \u0022success\u0022,\n// \u0022results\u0022: [\n// {\n// \u0022text\u0022: \u0022Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what\\u0027s happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning.\u0022,\n// \u0022labels\u0022: [\n// {\n// \u0022label\u0022: \u0022disasters\u0022,\n// \u0022confidence\u0022: 0.8142836093902588,\n// \u0022severity\u0022: 0.4093044400215149\n// }\n// ],\n// \u0022sentences_idx_start\u0022: 0,\n// \u0022sentences_idx_end\u0022: 5,\n// \u0022timestamp\u0022: {\n// \u0022start\u0022: 250,\n// \u0022end\u0022: 28840\n// }\n// }\n// ],\n// \u0022summary\u0022: {\n// \u0022disasters\u0022: 0.9940800441842205,\n// \u0022health_issues\u0022: 0.9216489289040967\n// },\n// \u0022severity_score_summary\u0022: {\n// \u0022disasters\u0022: {\n// \u0022low\u0022: 0.5733263024656846,\n// \u0022medium\u0022: 0.42667369753431533,\n// \u0022high\u0022: 0\n// },\n// \u0022health_issues\u0022: {\n// \u0022low\u0022: 0.22863814977924785,\n// \u0022medium\u0022: 0.45014154926938227,\n// \u0022high\u0022: 0.32122030095136983\n// }\n// }\n// },\n// \u0022iab_categories_result\u0022: {\n// \u0022status\u0022: \u0022success\u0022,\n// \u0022results\u0022: [\n// {\n// \u0022text\u0022: \u0022Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what\\u0027s happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning.\u0022,\n// \u0022labels\u0022: [\n// {\n// \u0022relevance\u0022: 0.988274097442627,\n// \u0022label\u0022: \u0022Home\\u0026Garden\\u003EIndoorEnvironmentalQuality\u0022\n// },\n// {\n// \u0022relevance\u0022: 0.5821335911750793,\n// \u0022label\u0022: \u0022NewsAndPolitics\\u003EWeather\u0022\n// },\n// {\n// \u0022relevance\u0022: 0.0042327106930315495,\n// \u0022label\u0022: \u0022MedicalHealth\\u003EDiseasesAndConditions\\u003ELungAndRespiratoryHealth\u0022\n// },\n// {\n// \u0022relevance\u0022: 0.0033971222583204508,\n// \u0022label\u0022: \u0022NewsAndPolitics\\u003EDisasters\u0022\n// },\n// {\n// \u0022relevance\u0022: 0.002469958271831274,\n// \u0022label\u0022: \u0022BusinessAndFinance\\u003EBusiness\\u003EGreenSolutions\u0022\n// },\n// {\n// \u0022relevance\u0022: 0.0014376690378412604,\n// \u0022label\u0022: \u0022MedicalHealth\\u003EDiseasesAndConditions\\u003ECancer\u0022\n// },\n// {\n// \u0022relevance\u0022: 0.0014294233405962586,\n// \u0022label\u0022: \u0022Science\\u003EEnvironment\u0022\n// },\n// {\n// \u0022relevance\u0022: 0.001234519761055708,\n// \u0022label\u0022: \u0022Travel\\u003ETravelLocations\\u003EPolarTravel\u0022\n// },\n// {\n// \u0022relevance\u0022: 0.0010231725173071027,\n// \u0022label\u0022: \u0022MedicalHealth\\u003EDiseasesAndConditions\\u003EColdAndFlu\u0022\n// },\n// {\n// \u0022relevance\u0022: 0.0007445293595083058,\n// \u0022label\u0022: \u0022BusinessAndFinance\\u003EIndustries\\u003EPowerAndEnergyIndustry\u0022\n// }\n// ],\n// \u0022timestamp\u0022: {\n// \u0022start\u0022: 250,\n// \u0022end\u0022: 28840\n// }\n// }\n// ],\n// \u0022summary\u0022: {\n// \u0022NewsAndPolitics\\u003EWeather\u0022: 1,\n// \u0022Home\\u0026Garden\\u003EIndoorEnvironmentalQuality\u0022: 0.9043831825256348,\n// \u0022Science\\u003EEnvironment\u0022: 0.16117265820503235,\n// \u0022BusinessAndFinance\\u003EIndustries\\u003EEnvironmentalServicesIndustry\u0022: 0.14393523335456848,\n// \u0022MedicalHealth\\u003EDiseasesAndConditions\\u003ELungAndRespiratoryHealth\u0022: 0.11401086300611496,\n// \u0022BusinessAndFinance\\u003EBusiness\\u003EGreenSolutions\u0022: 0.06348437070846558,\n// \u0022NewsAndPolitics\\u003EDisasters\u0022: 0.05041387677192688,\n// \u0022Travel\\u003ETravelLocations\\u003EPolarTravel\u0022: 0.01308488193899393,\n// \u0022HealthyLiving\u0022: 0.008222488686442375,\n// \u0022MedicalHealth\\u003EDiseasesAndConditions\\u003EColdAndFlu\u0022: 0.0022315620444715023,\n// \u0022MedicalHealth\\u003EDiseasesAndConditions\\u003EHeartAndCardiovascularDiseases\u0022: 0.00213034451007843,\n// \u0022HealthyLiving\\u003EWellness\\u003ESmokingCessation\u0022: 0.001540527562610805,\n// \u0022MedicalHealth\\u003EDiseasesAndConditions\\u003EInjuries\u0022: 0.0013950627762824297,\n// \u0022BusinessAndFinance\\u003EIndustries\\u003EPowerAndEnergyIndustry\u0022: 0.0012570273829624057,\n// \u0022MedicalHealth\\u003EDiseasesAndConditions\\u003ECancer\u0022: 0.001097781932912767,\n// \u0022MedicalHealth\\u003EDiseasesAndConditions\\u003EAllergies\u0022: 0.0010148967849090695,\n// \u0022MedicalHealth\\u003EDiseasesAndConditions\\u003EMentalHealth\u0022: 0.000717321818228811,\n// \u0022Style\\u0026Fashion\\u003EPersonalCare\\u003EDeodorantAndAntiperspirant\u0022: 0.0006022014422342181,\n// \u0022Technology\\u0026Computing\\u003EComputing\\u003EComputerNetworking\u0022: 0.0005461975233629346,\n// \u0022MedicalHealth\\u003EDiseasesAndConditions\\u003EInjuries\\u003EFirstAid\u0022: 0.0004885646631009877\n// }\n// },\n// \u0022custom_spelling\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022,\n// \u0022throttled\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022,\n// \u0022auto_chapters\u0022: false,\n// \u0022summarization\u0022: false,\n// \u0022summary_type\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022,\n// \u0022summary_model\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022,\n// \u0022custom_topics\u0022: true,\n// \u0022topics\u0022: [],\n// \u0022speech_threshold\u0022: 0.5,\n// \u0022remove_audio_tags\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022,\n// \u0022domain\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022,\n// \u0022disfluencies\u0022: false,\n// \u0022sentiment_analysis\u0022: true,\n// \u0022sentiment_analysis_results\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022,\n// \u0022entity_detection\u0022: true,\n// \u0022entities\u0022: [\n// {\n// \u0022entity_type\u0022: \u0022location\u0022,\n// \u0022text\u0022: \u0022Canada\u0022,\n// \u0022start\u0022: 2548,\n// \u0022end\u0022: 3130\n// },\n// {\n// \u0022entity_type\u0022: \u0022location\u0022,\n// \u0022text\u0022: \u0022the US\u0022,\n// \u0022start\u0022: 5498,\n// \u0022end\u0022: 6382\n// },\n// {\n// \u0022entity_type\u0022: \u0022location\u0022,\n// \u0022text\u0022: \u0022Maine\u0022,\n// \u0022start\u0022: 7492,\n// \u0022end\u0022: 7914\n// },\n// {\n// \u0022entity_type\u0022: \u0022location\u0022,\n// \u0022text\u0022: \u0022Maryland\u0022,\n// \u0022start\u0022: 8212,\n// \u0022end\u0022: 8634\n// },\n// {\n// \u0022entity_type\u0022: \u0022location\u0022,\n// \u0022text\u0022: \u0022Minnesota\u0022,\n// \u0022start\u0022: 8932,\n// \u0022end\u0022: 9578\n// },\n// {\n// \u0022entity_type\u0022: \u0022person_name\u0022,\n// \u0022text\u0022: \u0022Peter de Carlo\u0022,\n// \u0022start\u0022: 18948,\n// \u0022end\u0022: 19930\n// },\n// {\n// \u0022entity_type\u0022: \u0022occupation\u0022,\n// \u0022text\u0022: \u0022associate professor\u0022,\n// \u0022start\u0022: 20292,\n// \u0022end\u0022: 21194\n// },\n// {\n// \u0022entity_type\u0022: \u0022organization\u0022,\n// \u0022text\u0022: \u0022Department of Environmental Health and Engineering\u0022,\n// \u0022start\u0022: 21508,\n// \u0022end\u0022: 23706\n// },\n// {\n// \u0022entity_type\u0022: \u0022organization\u0022,\n// \u0022text\u0022: \u0022Johns Hopkins University Varsity\u0022,\n// \u0022start\u0022: 23972,\n// \u0022end\u0022: 25490\n// },\n// {\n// \u0022entity_type\u0022: \u0022occupation\u0022,\n// \u0022text\u0022: \u0022professor\u0022,\n// \u0022start\u0022: 26076,\n// \u0022end\u0022: 26950\n// },\n// {\n// \u0022entity_type\u0022: \u0022location\u0022,\n// \u0022text\u0022: \u0022the US\u0022,\n// \u0022start\u0022: 45184,\n// \u0022end\u0022: 45898\n// },\n// {\n// \u0022entity_type\u0022: \u0022nationality\u0022,\n// \u0022text\u0022: \u0022Canadian\u0022,\n// \u0022start\u0022: 49728,\n// \u0022end\u0022: 50086\n// }\n// ],\n// \u0022chapters\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022,\n// \u0022summary\u0022: \u0022openapi-json-null-sentinel-value-2BF93600-0FE4-4250-987A-E5DDB203E464\u0022,\n// \u0022speakers_expected\u0022: 2\n// }",
"Format": "sdk",
"OperationId": "createTranscript",
"Setup": "This example assumes \u0060using AssemblyAI;\u0060 is in scope and \u0060apiKey\u0060 contains the required credential."
diff --git a/src/libs/AssemblyAI/openapi.yaml b/src/libs/AssemblyAI/openapi.yaml
index 40f3df4..f22c043 100644
--- a/src/libs/AssemblyAI/openapi.yaml
+++ b/src/libs/AssemblyAI/openapi.yaml
@@ -1,5 +1,4 @@
openapi: 3.1.0
-
info:
title: AssemblyAI API
description: AssemblyAI API
@@ -9,12 +8,10 @@ info:
name: API Support
email: support@assemblyai.com
url: https://www.assemblyai.com/docs/
-
servers:
- url: https://api.assemblyai.com
description: AssemblyAI API
x-fern-server-name: Default
-
tags:
- name: transcript
description: Transcript related operations
@@ -24,21 +21,25 @@ tags:
description: Streaming Speech-to-Text
externalDocs:
url: https://www.assemblyai.com/docs/streaming/universal-streaming
-
security:
- ApiKey: []
-
paths:
/v2/upload:
post:
tags:
- transcript
summary: Upload a media file
- description: |
+ description: >
Upload a media file to AssemblyAI's servers.
- To upload a media file to our EU server, replace `api.assemblyai.com` with `api.eu.assemblyai.com`.
- Requests to transcribe uploaded files must use an API key from the same project as the key that was used to upload the file. If you use an API key from a different project you will get a `403` error and "Cannot access uploaded file" message.
+
+ To upload a media file to our EU server, replace
+ `api.assemblyai.com` with `api.eu.assemblyai.com`.
+
+ Requests to transcribe uploaded files must use an API key from
+ the same project as the key that was used to upload the file. If you use
+ an API key from a different project you will get a `403` error and
+ "Cannot access uploaded file" message.
operationId: uploadFile
x-fern-sdk-group-name: files
x-fern-sdk-method-name: upload
@@ -49,47 +50,53 @@ paths:
type: string
format: binary
responses:
- "200":
+ '200':
x-label: Media file uploaded
description: Media file uploaded successfully
content:
application/json:
schema:
- $ref: "#/components/schemas/UploadedFile"
- "400":
- $ref: "#/components/responses/BadRequest"
- "401":
- $ref: "#/components/responses/Unauthorized"
- "403":
- $ref: "#/components/responses/CannotAccessUploadedFile"
- "404":
- $ref: "#/components/responses/NotFound"
- "422":
+ $ref: '#/components/schemas/UploadedFile'
+ '400':
+ $ref: '#/components/responses/BadRequest'
+ '401':
+ $ref: '#/components/responses/Unauthorized'
+ '403':
+ $ref: '#/components/responses/CannotAccessUploadedFile'
+ '404':
+ $ref: '#/components/responses/NotFound'
+ '422':
x-label: Upload failed
- description: |
- Upload failed (for example, when the request body is empty). The response body is plain text, not JSON.
+ description: >
+ Upload failed (for example, when the request body is empty). The
+ response body is plain text, not JSON.
content:
text/plain:
schema:
type: string
- example: "Upload failed, please try again. If you continue to have issues please reach out to support@assemblyai.com"
- "429":
- $ref: "#/components/responses/TooManyRequests"
- "500":
- $ref: "#/components/responses/InternalServerError"
- "503":
- $ref: "#/components/responses/ServiceUnavailable"
- "504":
- $ref: "#/components/responses/GatewayTimeout"
-
+ example: >-
+ Upload failed, please try again. If you continue to have issues
+ please reach out to support@assemblyai.com
+ '429':
+ $ref: '#/components/responses/TooManyRequests'
+ '500':
+ $ref: '#/components/responses/InternalServerError'
+ '503':
+ $ref: '#/components/responses/ServiceUnavailable'
+ '504':
+ $ref: '#/components/responses/GatewayTimeout'
/v2/transcript:
post:
tags:
- transcript
summary: Transcribe audio
- description: |
- To use our EU server for transcription, replace `api.assemblyai.com` with `api.eu.assemblyai.com`.
- Building a load test or submitting a large batch? [See our guide →](/pre-recorded-audio/guides/bulk-transcription-and-load-tests-at-scale)
+ description: >
+ To use our EU server for transcription, replace
+ `api.assemblyai.com` with `api.eu.assemblyai.com`.
+
+ Building a load test or submitting a large batch? [See our guide
+ →](/pre-recorded-audio/guides/bulk-transcription-and-load-tests-at-scale)
+
Create a transcript from a media file that is accessible via a URL.
operationId: createTranscript
x-fern-sdk-group-name: transcripts
@@ -101,47 +108,47 @@ paths:
content:
application/json:
schema:
- $ref: "#/components/schemas/TranscriptParams"
+ $ref: '#/components/schemas/TranscriptParams'
responses:
- "200":
+ '200':
x-label: Transcript created
description: Transcript created and queued for processing
content:
application/json:
schema:
- $ref: "#/components/schemas/Transcript"
+ $ref: '#/components/schemas/Transcript'
links:
GetTranscriptById:
- $ref: "#/components/links/GetTranscriptById"
+ $ref: '#/components/links/GetTranscriptById'
GetTranscriptSentencesById:
- $ref: "#/components/links/GetTranscriptSentencesById"
+ $ref: '#/components/links/GetTranscriptSentencesById'
GetTranscriptParagraphsById:
- $ref: "#/components/links/GetTranscriptParagraphsById"
+ $ref: '#/components/links/GetTranscriptParagraphsById'
GetTranscriptSubtitlesById:
- $ref: "#/components/links/GetTranscriptSubtitlesById"
+ $ref: '#/components/links/GetTranscriptSubtitlesById'
GetTranscriptRedactedAudioById:
- $ref: "#/components/links/GetTranscriptRedactedAudioById"
+ $ref: '#/components/links/GetTranscriptRedactedAudioById'
WordSearchByTranscriptId:
- $ref: "#/components/links/WordSearchByTranscriptId"
+ $ref: '#/components/links/WordSearchByTranscriptId'
DeleteTranscriptById:
- $ref: "#/components/links/DeleteTranscriptById"
- "400":
- $ref: "#/components/responses/BadRequest"
- "401":
- $ref: "#/components/responses/Unauthorized"
- "404":
- $ref: "#/components/responses/NotFound"
- "429":
- $ref: "#/components/responses/TooManyRequests"
- "500":
- $ref: "#/components/responses/InternalServerError"
- "503":
- $ref: "#/components/responses/ServiceUnavailable"
- "504":
- $ref: "#/components/responses/GatewayTimeout"
+ $ref: '#/components/links/DeleteTranscriptById'
+ '400':
+ $ref: '#/components/responses/BadRequest'
+ '401':
+ $ref: '#/components/responses/Unauthorized'
+ '404':
+ $ref: '#/components/responses/NotFound'
+ '429':
+ $ref: '#/components/responses/TooManyRequests'
+ '500':
+ $ref: '#/components/responses/InternalServerError'
+ '503':
+ $ref: '#/components/responses/ServiceUnavailable'
+ '504':
+ $ref: '#/components/responses/GatewayTimeout'
callbacks:
transcriptReadyWebhook:
- "{$request.body#/webhook_url}":
+ '{$request.body#/webhook_url}':
post:
summary: Transcript ready webhook
requestBody:
@@ -149,16 +156,16 @@ paths:
content:
application/json:
schema:
- $ref: "#/components/schemas/TranscriptReadyNotification"
+ $ref: '#/components/schemas/TranscriptReadyNotification'
responses:
- "2XX":
+ 2XX:
description: Successfully received the notification
- "4XX":
+ 4XX:
description: Invalid request
- "5XX":
+ 5XX:
description: Unexpected error
redactedAudioWebhook:
- "{$request.body#/webhook_url}":
+ '{$request.body#/webhook_url}':
post:
summary: Redacted audio ready webhook
requestBody:
@@ -166,13 +173,13 @@ paths:
content:
application/json:
schema:
- $ref: "#/components/schemas/RedactedAudioNotification"
+ $ref: '#/components/schemas/RedactedAudioNotification'
responses:
- "2XX":
+ 2XX:
description: Successfully received the notification
- "4XX":
+ 4XX:
description: Invalid request
- "5XX":
+ 5XX:
description: Unexpected error
get:
tags:
@@ -182,20 +189,37 @@ paths:
x-fern-sdk-method-name: list
x-fern-request-name: ListTranscriptParams
operationId: listTranscripts
- description: |
- To retrieve your transcriptions on our EU server, replace `api.assemblyai.com` with `api.eu.assemblyai.com`.
+ description: >
+ To retrieve your transcriptions on our EU server, replace
+ `api.assemblyai.com` with `api.eu.assemblyai.com`.
+
Retrieve a list of transcripts you created.
- Transcripts are sorted from newest to oldest and can be retrieved for the last 90 days of usage. The previous URL always points to a page with older transcripts.
- If you need to retrieve transcripts from more than 90 days ago please reach out to our Support team at support@assemblyai.com.
+ Transcripts are sorted from newest to oldest and can be retrieved for
+ the last 90 days of usage. The previous URL always points to a page with
+ older transcripts.
+
+
+ If you need to retrieve transcripts from more than 90 days ago please
+ reach out to our Support team at support@assemblyai.com.
+
**Pagination**
- This endpoint returns paginated results. The response includes a `page_details` object with the following properties:
+
+ This endpoint returns paginated results. The response includes a
+ `page_details` object with the following properties:
+
- `page_details.limit` - Maximum number of transcripts per page.
- - `page_details.result_count` - Total number of transcripts returned on the current page.
+
+ - `page_details.result_count` - Total number of transcripts returned on
+ the current page.
+
- `page_details.current_url` - URL to the current page.
- - `page_details.prev_url` - URL to the previous page of older transcripts.
+
+ - `page_details.prev_url` - URL to the previous page of older
+ transcripts.
+
- `page_details.next_url` - URL to the next page of newer transcripts.
parameters:
- name: limit
@@ -212,8 +236,7 @@ paths:
in: query
description: Filter by transcript status
schema:
- $ref: "#/components/schemas/TranscriptStatus"
-
+ $ref: '#/components/schemas/TranscriptStatus'
- name: created_on
x-label: Created on
in: query
@@ -221,7 +244,6 @@ paths:
schema:
type: string
format: date
-
- name: before_id
x-label: Before ID
in: query
@@ -229,7 +251,6 @@ paths:
schema:
type: string
format: uuid
-
- name: after_id
x-label: After ID
in: query
@@ -237,7 +258,6 @@ paths:
schema:
type: string
format: uuid
-
- name: throttled_only
x-label: Throttled only
in: query
@@ -247,28 +267,28 @@ paths:
default: false
deprecated: true
responses:
- "200":
- description: |
- A list of transcripts. Transcripts are sorted from newest to oldest. The previous URL always points to a page with older transcripts.
+ '200':
+ description: >
+ A list of transcripts. Transcripts are sorted from newest to oldest.
+ The previous URL always points to a page with older transcripts.
content:
application/json:
schema:
- $ref: "#/components/schemas/TranscriptList"
- "400":
- $ref: "#/components/responses/BadRequest"
- "401":
- $ref: "#/components/responses/Unauthorized"
- "404":
- $ref: "#/components/responses/NotFound"
- "429":
- $ref: "#/components/responses/TooManyRequests"
- "500":
- $ref: "#/components/responses/InternalServerError"
- "503":
- $ref: "#/components/responses/ServiceUnavailable"
- "504":
- $ref: "#/components/responses/GatewayTimeout"
-
+ $ref: '#/components/schemas/TranscriptList'
+ '400':
+ $ref: '#/components/responses/BadRequest'
+ '401':
+ $ref: '#/components/responses/Unauthorized'
+ '404':
+ $ref: '#/components/responses/NotFound'
+ '429':
+ $ref: '#/components/responses/TooManyRequests'
+ '500':
+ $ref: '#/components/responses/InternalServerError'
+ '503':
+ $ref: '#/components/responses/ServiceUnavailable'
+ '504':
+ $ref: '#/components/responses/GatewayTimeout'
/v2/transcript/{transcript_id}:
get:
tags:
@@ -278,9 +298,12 @@ paths:
x-fern-sdk-group-name: transcripts
x-fern-sdk-method-name: get
x-fern-request-name: GetTranscriptParams
- description: |
- To retrieve your transcriptions on our EU server, replace `api.assemblyai.com` with `api.eu.assemblyai.com`.
- Get the transcript resource. The transcript is ready when the "status" is "completed".
+ description: >
+ To retrieve your transcriptions on our EU server, replace
+ `api.assemblyai.com` with `api.eu.assemblyai.com`.
+
+ Get the transcript resource. The transcript is ready when the "status"
+ is "completed".
parameters:
- name: transcript_id
x-label: Transcript ID
@@ -290,50 +313,54 @@ paths:
schema:
type: string
responses:
- "200":
+ '200':
description: The transcript resource
content:
application/json:
schema:
- $ref: "#/components/schemas/Transcript"
+ $ref: '#/components/schemas/Transcript'
links:
GetTranscriptById:
- $ref: "#/components/links/GetTranscriptById"
+ $ref: '#/components/links/GetTranscriptById'
GetTranscriptSentencesById:
- $ref: "#/components/links/GetTranscriptSentencesById"
+ $ref: '#/components/links/GetTranscriptSentencesById'
GetTranscriptParagraphsById:
- $ref: "#/components/links/GetTranscriptParagraphsById"
+ $ref: '#/components/links/GetTranscriptParagraphsById'
GetTranscriptSubtitlesById:
- $ref: "#/components/links/GetTranscriptSubtitlesById"
+ $ref: '#/components/links/GetTranscriptSubtitlesById'
GetTranscriptRedactedAudioById:
- $ref: "#/components/links/GetTranscriptRedactedAudioById"
+ $ref: '#/components/links/GetTranscriptRedactedAudioById'
WordSearchByTranscriptId:
- $ref: "#/components/links/WordSearchByTranscriptId"
+ $ref: '#/components/links/WordSearchByTranscriptId'
DeleteTranscriptById:
- $ref: "#/components/links/DeleteTranscriptById"
- "400":
- $ref: "#/components/responses/BadRequest"
- "401":
- $ref: "#/components/responses/Unauthorized"
- "404":
- $ref: "#/components/responses/NotFound"
- "429":
- $ref: "#/components/responses/TooManyRequests"
- "500":
- $ref: "#/components/responses/InternalServerError"
- "503":
- $ref: "#/components/responses/ServiceUnavailable"
- "504":
- $ref: "#/components/responses/GatewayTimeout"
-
+ $ref: '#/components/links/DeleteTranscriptById'
+ '400':
+ $ref: '#/components/responses/BadRequest'
+ '401':
+ $ref: '#/components/responses/Unauthorized'
+ '404':
+ $ref: '#/components/responses/NotFound'
+ '429':
+ $ref: '#/components/responses/TooManyRequests'
+ '500':
+ $ref: '#/components/responses/InternalServerError'
+ '503':
+ $ref: '#/components/responses/ServiceUnavailable'
+ '504':
+ $ref: '#/components/responses/GatewayTimeout'
delete:
tags:
- transcript
summary: Delete transcript
- description: |
- To delete your transcriptions on our EU server, replace `api.assemblyai.com` with `api.eu.assemblyai.com`.
+ description: >
+ To delete your transcriptions on our EU server, replace
+ `api.assemblyai.com` with `api.eu.assemblyai.com`.
+
Remove the data from the transcript and mark it as deleted.
- Files uploaded via the `/upload` endpoint are immediately deleted alongside the transcript when you make a DELETE request, ensuring your data is removed from our systems right away.
+
+ Files uploaded via the `/upload` endpoint are immediately
+ deleted alongside the transcript when you make a DELETE request,
+ ensuring your data is removed from our systems right away.
operationId: deleteTranscript
x-fern-sdk-group-name: transcripts
x-fern-sdk-method-name: delete
@@ -346,35 +373,37 @@ paths:
schema:
type: string
responses:
- "200":
+ '200':
description: The deleted transcript response
content:
application/json:
schema:
- $ref: "#/components/schemas/Transcript"
- "400":
- $ref: "#/components/responses/BadRequest"
- "401":
- $ref: "#/components/responses/Unauthorized"
- "404":
- $ref: "#/components/responses/NotFound"
- "429":
- $ref: "#/components/responses/TooManyRequests"
- "500":
- $ref: "#/components/responses/InternalServerError"
- "503":
- $ref: "#/components/responses/ServiceUnavailable"
- "504":
- $ref: "#/components/responses/GatewayTimeout"
-
+ $ref: '#/components/schemas/Transcript'
+ '400':
+ $ref: '#/components/responses/BadRequest'
+ '401':
+ $ref: '#/components/responses/Unauthorized'
+ '404':
+ $ref: '#/components/responses/NotFound'
+ '429':
+ $ref: '#/components/responses/TooManyRequests'
+ '500':
+ $ref: '#/components/responses/InternalServerError'
+ '503':
+ $ref: '#/components/responses/ServiceUnavailable'
+ '504':
+ $ref: '#/components/responses/GatewayTimeout'
/v2/transcript/{transcript_id}/{subtitle_format}:
get:
tags:
- transcript
summary: Get subtitles for transcript
- description: |
- To retrieve your transcriptions on our EU server, replace `api.assemblyai.com` with `api.eu.assemblyai.com`.
- Export your transcript in SRT or VTT format to use with a video player for subtitles and closed captions.
+ description: >
+ To retrieve your transcriptions on our EU server, replace
+ `api.assemblyai.com` with `api.eu.assemblyai.com`.
+
+ Export your transcript in SRT or VTT format to use with a video player
+ for subtitles and closed captions.
operationId: getSubtitles
x-fern-sdk-group-name: transcripts
x-fern-sdk-method-name: getSubtitles
@@ -393,72 +422,89 @@ paths:
description: The format of the captions
required: true
schema:
- $ref: "#/components/schemas/SubtitleFormat"
+ $ref: '#/components/schemas/SubtitleFormat'
- name: chars_per_caption
x-label: Number of characters per caption
in: query
description: The maximum number of characters per caption
schema:
type: integer
-
responses:
- "200":
+ '200':
description: The exported captions as text
content:
text/plain:
schema:
type: string
- example: |
+ example: >
WEBVTT
+
00:12.340 --> 00:16.220
+
Last year I showed these two slides said that demonstrate
+
00:16.200 --> 00:20.040
- that the Arctic ice cap which for most of the last 3,000,000 years has been the
+
+ that the Arctic ice cap which for most of the last 3,000,000
+ years has been the
+
00:20.020 --> 00:25.040
- size of the lower 48 States has shrunk by 40% but this understates
+
+ size of the lower 48 States has shrunk by 40% but this
+ understates
examples:
srt:
- $ref: "#/components/examples/SrtSubtitlesResponse"
+ $ref: '#/components/examples/SrtSubtitlesResponse'
vtt:
- $ref: "#/components/examples/VttSubtitlesResponse"
+ $ref: '#/components/examples/VttSubtitlesResponse'
text/html:
schema:
type: string
- example: |
+ example: >
WEBVTT
+
00:12.340 --> 00:16.220
+
Last year I showed these two slides said that demonstrate
+
00:16.200 --> 00:20.040
- that the Arctic ice cap which for most of the last 3,000,000 years has been the
+
+ that the Arctic ice cap which for most of the last 3,000,000
+ years has been the
+
00:20.020 --> 00:25.040
- size of the lower 48 States has shrunk by 40% but this understates
+
+ size of the lower 48 States has shrunk by 40% but this
+ understates
examples:
srt:
- $ref: "#/components/examples/SrtSubtitlesResponse"
+ $ref: '#/components/examples/SrtSubtitlesResponse'
vtt:
- $ref: "#/components/examples/VttSubtitlesResponse"
- "400":
- $ref: "#/components/responses/BadRequest"
- "401":
- $ref: "#/components/responses/Unauthorized"
- "404":
+ $ref: '#/components/examples/VttSubtitlesResponse'
+ '400':
+ $ref: '#/components/responses/BadRequest'
+ '401':
+ $ref: '#/components/responses/Unauthorized'
+ '404':
x-label: Not found
- description: |
- Returned when `subtitle_format` is not `srt` or `vtt`. The response body is a plain HTML 404 page — the literal string `404: Not Found` — not JSON. Unknown `transcript_id` lookups, by contrast, return a `400` with a JSON `Error` object.
+ description: >
+ Returned when `subtitle_format` is not `srt` or `vtt`. The response
+ body is a plain HTML 404 page — the literal string `404: Not Found`
+ — not JSON. Unknown `transcript_id` lookups, by contrast, return a
+ `400` with a JSON `Error` object.
content:
text/html:
schema:
type: string
- example: "404: Not Found"
- "429":
- $ref: "#/components/responses/TooManyRequests"
- "500":
- $ref: "#/components/responses/InternalServerError"
- "503":
- $ref: "#/components/responses/ServiceUnavailable"
- "504":
- $ref: "#/components/responses/GatewayTimeout"
-
+ example: '404: Not Found'
+ '429':
+ $ref: '#/components/responses/TooManyRequests'
+ '500':
+ $ref: '#/components/responses/InternalServerError'
+ '503':
+ $ref: '#/components/responses/ServiceUnavailable'
+ '504':
+ $ref: '#/components/responses/GatewayTimeout'
/v2/transcript/{transcript_id}/sentences:
get:
tags:
@@ -468,9 +514,13 @@ paths:
x-fern-sdk-group-name: transcripts
x-fern-sdk-method-name: getSentences
x-fern-request-name: GetSentencesParams
- description: |
- To retrieve your transcriptions on our EU server, replace `api.assemblyai.com` with `api.eu.assemblyai.com`.
- Get the transcript split by sentences. The API will attempt to semantically segment the transcript into sentences to create more reader-friendly transcripts.
+ description: >
+ To retrieve your transcriptions on our EU server, replace
+ `api.assemblyai.com` with `api.eu.assemblyai.com`.
+
+ Get the transcript split by sentences. The API will attempt to
+ semantically segment the transcript into sentences to create more
+ reader-friendly transcripts.
parameters:
- name: transcript_id
x-label: Transcript ID
@@ -480,27 +530,26 @@ paths:
schema:
type: string
responses:
- "200":
+ '200':
description: Exported sentences
content:
application/json:
schema:
- $ref: "#/components/schemas/SentencesResponse"
- "400":
- $ref: "#/components/responses/BadRequest"
- "401":
- $ref: "#/components/responses/Unauthorized"
- "404":
- $ref: "#/components/responses/NotFound"
- "429":
- $ref: "#/components/responses/TooManyRequests"
- "500":
- $ref: "#/components/responses/InternalServerError"
- "503":
- $ref: "#/components/responses/ServiceUnavailable"
- "504":
- $ref: "#/components/responses/GatewayTimeout"
-
+ $ref: '#/components/schemas/SentencesResponse'
+ '400':
+ $ref: '#/components/responses/BadRequest'
+ '401':
+ $ref: '#/components/responses/Unauthorized'
+ '404':
+ $ref: '#/components/responses/NotFound'
+ '429':
+ $ref: '#/components/responses/TooManyRequests'
+ '500':
+ $ref: '#/components/responses/InternalServerError'
+ '503':
+ $ref: '#/components/responses/ServiceUnavailable'
+ '504':
+ $ref: '#/components/responses/GatewayTimeout'
/v2/transcript/{transcript_id}/paragraphs:
get:
tags:
@@ -510,9 +559,13 @@ paths:
x-fern-sdk-group-name: transcripts
x-fern-sdk-method-name: getParagraphs
x-fern-request-name: GetParagraphsParams
- description: |
- To retrieve your transcriptions on our EU server, replace `api.assemblyai.com` with `api.eu.assemblyai.com`.
- Get the transcript split by paragraphs. The API will attempt to semantically segment your transcript into paragraphs to create more reader-friendly transcripts.
+ description: >
+ To retrieve your transcriptions on our EU server, replace
+ `api.assemblyai.com` with `api.eu.assemblyai.com`.
+
+ Get the transcript split by paragraphs. The API will attempt to
+ semantically segment your transcript into paragraphs to create more
+ reader-friendly transcripts.
parameters:
- name: transcript_id
x-label: Transcript ID
@@ -522,35 +575,38 @@ paths:
schema:
type: string
responses:
- "200":
+ '200':
description: Exported paragraphs
content:
application/json:
schema:
- $ref: "#/components/schemas/ParagraphsResponse"
- "400":
- $ref: "#/components/responses/BadRequest"
- "401":
- $ref: "#/components/responses/Unauthorized"
- "404":
- $ref: "#/components/responses/NotFound"
- "429":
- $ref: "#/components/responses/TooManyRequests"
- "500":
- $ref: "#/components/responses/InternalServerError"
- "503":
- $ref: "#/components/responses/ServiceUnavailable"
- "504":
- $ref: "#/components/responses/GatewayTimeout"
-
+ $ref: '#/components/schemas/ParagraphsResponse'
+ '400':
+ $ref: '#/components/responses/BadRequest'
+ '401':
+ $ref: '#/components/responses/Unauthorized'
+ '404':
+ $ref: '#/components/responses/NotFound'
+ '429':
+ $ref: '#/components/responses/TooManyRequests'
+ '500':
+ $ref: '#/components/responses/InternalServerError'
+ '503':
+ $ref: '#/components/responses/ServiceUnavailable'
+ '504':
+ $ref: '#/components/responses/GatewayTimeout'
/v2/transcript/{transcript_id}/word-search:
get:
tags:
- transcript
summary: Search words in transcript
- description: |
- To search through a transcription created on our EU server, replace `api.assemblyai.com` with `api.eu.assemblyai.com`.
- Search through the transcript for keywords. You can search for individual words, numbers, or phrases containing up to five words or numbers.
+ description: >
+ To search through a transcription created on our EU server,
+ replace `api.assemblyai.com` with `api.eu.assemblyai.com`.
+
+ Search through the transcript for keywords. You can search for
+ individual words, numbers, or phrases containing up to five words or
+ numbers.
operationId: wordSearch
x-fern-sdk-group-name: transcripts
x-fern-sdk-method-name: wordSearch
@@ -575,38 +631,42 @@ paths:
items:
x-label: Word
type: string
-
responses:
- "200":
+ '200':
description: Word search response
content:
application/json:
schema:
- $ref: "#/components/schemas/WordSearchResponse"
- "400":
- $ref: "#/components/responses/BadRequest"
- "401":
- $ref: "#/components/responses/Unauthorized"
- "404":
- $ref: "#/components/responses/NotFound"
- "429":
- $ref: "#/components/responses/TooManyRequests"
- "500":
- $ref: "#/components/responses/InternalServerError"
- "503":
- $ref: "#/components/responses/ServiceUnavailable"
- "504":
- $ref: "#/components/responses/GatewayTimeout"
-
+ $ref: '#/components/schemas/WordSearchResponse'
+ '400':
+ $ref: '#/components/responses/BadRequest'
+ '401':
+ $ref: '#/components/responses/Unauthorized'
+ '404':
+ $ref: '#/components/responses/NotFound'
+ '429':
+ $ref: '#/components/responses/TooManyRequests'
+ '500':
+ $ref: '#/components/responses/InternalServerError'
+ '503':
+ $ref: '#/components/responses/ServiceUnavailable'
+ '504':
+ $ref: '#/components/responses/GatewayTimeout'
/v2/transcript/{transcript_id}/redacted-audio:
get:
tags:
- transcript
summary: Get redacted audio
- description: |
- To retrieve the redacted audio on the EU server, replace `api.assemblyai.com` with `api.eu.assemblyai.com` in the `GET` request above.
- Redacted audio files are only available for 24 hours. Make sure to download the file within this time frame.
- Retrieve the redacted audio object containing the status and URL to the redacted audio.
+ description: >
+ To retrieve the redacted audio on the EU server, replace
+ `api.assemblyai.com` with `api.eu.assemblyai.com` in the `GET` request
+ above.
+
+ Redacted audio files are only available for 24 hours. Make sure to
+ download the file within this time frame.
+
+ Retrieve the redacted audio object containing the status and URL to the
+ redacted audio.
operationId: getRedactedAudio
x-fern-sdk-group-name: transcripts
x-fern-sdk-method-name: getRedactedAudio
@@ -619,66 +679,80 @@ paths:
required: true
schema:
type: string
-
responses:
- "200":
- description: The redacted audio object containing the status and URL to the redacted audio
+ '200':
+ description: >-
+ The redacted audio object containing the status and URL to the
+ redacted audio
content:
application/json:
schema:
- $ref: "#/components/schemas/RedactedAudioResponse"
- "400":
- $ref: "#/components/responses/BadRequest"
- "401":
- $ref: "#/components/responses/Unauthorized"
- "404":
- $ref: "#/components/responses/NotFound"
- "429":
- $ref: "#/components/responses/TooManyRequests"
- "500":
- $ref: "#/components/responses/InternalServerError"
- "503":
- $ref: "#/components/responses/ServiceUnavailable"
- "504":
- $ref: "#/components/responses/GatewayTimeout"
-
+ $ref: '#/components/schemas/RedactedAudioResponse'
+ '400':
+ $ref: '#/components/responses/BadRequest'
+ '401':
+ $ref: '#/components/responses/Unauthorized'
+ '404':
+ $ref: '#/components/responses/NotFound'
+ '429':
+ $ref: '#/components/responses/TooManyRequests'
+ '500':
+ $ref: '#/components/responses/InternalServerError'
+ '503':
+ $ref: '#/components/responses/ServiceUnavailable'
+ '504':
+ $ref: '#/components/responses/GatewayTimeout'
components:
links:
GetTranscriptById:
operationId: getTranscript
parameters:
- transcript_id: "$response.body#/id"
- description: The transcript ID can be used as the `transcript_id` parameter in `GET /v2/transcript/{transcript_id}`.
+ transcript_id: $response.body#/id
+ description: >-
+ The transcript ID can be used as the `transcript_id` parameter in `GET
+ /v2/transcript/{transcript_id}`.
GetTranscriptSentencesById:
operationId: getSentences
parameters:
- transcript_id: "$response.body#/id"
- description: The transcript ID can be used as the `transcript_id` parameter in `GET /v2/transcript/{transcript_id}/sentences`.
+ transcript_id: $response.body#/id
+ description: >-
+ The transcript ID can be used as the `transcript_id` parameter in `GET
+ /v2/transcript/{transcript_id}/sentences`.
GetTranscriptParagraphsById:
operationId: getParagraphs
parameters:
- transcript_id: "$response.body#/id"
- description: The transcript ID can be used as the `transcript_id` parameter in `GET /v2/transcript/{transcript_id}/paragraphs`.
+ transcript_id: $response.body#/id
+ description: >-
+ The transcript ID can be used as the `transcript_id` parameter in `GET
+ /v2/transcript/{transcript_id}/paragraphs`.
GetTranscriptSubtitlesById:
operationId: getSubtitles
parameters:
- transcript_id: "$response.body#/id"
- description: The transcript ID can be used as the `transcript_id` parameter in `GET /v2/transcript/{transcript_id}/{subtitle_format}`.
+ transcript_id: $response.body#/id
+ description: >-
+ The transcript ID can be used as the `transcript_id` parameter in `GET
+ /v2/transcript/{transcript_id}/{subtitle_format}`.
GetTranscriptRedactedAudioById:
operationId: getRedactedAudio
parameters:
- transcript_id: "$response.body#/id"
- description: The transcript ID can be used as the `transcript_id` parameter in `GET /v2/transcript/{transcript_id}/redacted-audio`.
+ transcript_id: $response.body#/id
+ description: >-
+ The transcript ID can be used as the `transcript_id` parameter in `GET
+ /v2/transcript/{transcript_id}/redacted-audio`.
WordSearchByTranscriptId:
operationId: wordSearch
parameters:
- transcript_id: "$response.body#/id"
- description: The transcript ID can be used as the `transcript_id` parameter in `GET /v2/transcript/{transcript_id}/word-search`.
+ transcript_id: $response.body#/id
+ description: >-
+ The transcript ID can be used as the `transcript_id` parameter in `GET
+ /v2/transcript/{transcript_id}/word-search`.
DeleteTranscriptById:
operationId: deleteTranscript
parameters:
- transcript_id: "$response.body#/id"
- description: The transcript ID can be used as the `transcript_id` parameter in `DELETE /v2/transcript/{transcript_id}`.
+ transcript_id: $response.body#/id
+ description: >-
+ The transcript ID can be used as the `transcript_id` parameter in
+ `DELETE /v2/transcript/{transcript_id}`.
schemas:
TranscriptReadyNotification:
description: The notification when the transcript status is completed or error.
@@ -695,16 +769,13 @@ components:
status:
x-label: Transcript status
description: The status of the transcript. Either completed or error.
- $ref: "#/components/schemas/TranscriptReadyStatus"
+ $ref: '#/components/schemas/TranscriptReadyStatus'
required:
- transcript_id
- status
example:
- {
- transcript_id: "9ea68fd3-f953-42c1-9742-976c447fb463",
- status: "completed",
- }
-
+ transcript_id: 9ea68fd3-f953-42c1-9742-976c447fb463
+ status: completed
RedactedAudioNotification:
description: The notification when the redacted audio is ready.
x-label: Redacted audio notification
@@ -712,8 +783,7 @@ components:
type: object
additionalProperties: false
allOf:
- - $ref: "#/components/schemas/RedactedAudioResponse"
-
+ - $ref: '#/components/schemas/RedactedAudioResponse'
RedactedAudioResponse:
type: object
additionalProperties: false
@@ -726,18 +796,16 @@ components:
status:
x-label: Status
description: The status of the redacted audio
- $ref: "#/components/schemas/RedactedAudioStatus"
+ $ref: '#/components/schemas/RedactedAudioStatus'
redacted_audio_url:
x-label: Redacted audio URL
description: The URL of the redacted audio file
type: string
format: url
example:
- {
- redacted_audio_url: "https://s3.us-west-2.amazonaws.com/api.assembly.ai.usw2/redacted-audio/785efd9e-0e20-45e1-967b-3db17770ed9f.wav?AWSAccessKeyId=aws-access-key0id&Signature=signature&x-amz-security-token=security-token&Expires=1698966551",
- status: "redacted_audio_ready",
- }
-
+ redacted_audio_url: >-
+ https://s3.us-west-2.amazonaws.com/api.assembly.ai.usw2/redacted-audio/785efd9e-0e20-45e1-967b-3db17770ed9f.wav?AWSAccessKeyId=aws-access-key0id&Signature=signature&x-amz-security-token=security-token&Expires=1698966551
+ status: redacted_audio_ready
RedactedAudioStatus:
x-label: Redacted audio status
description: The status of the redacted audio
@@ -748,7 +816,6 @@ components:
x-aai-enum:
redacted_audio_ready:
label: Redacted audio is ready
-
SubtitleFormat:
x-label: Subtitle format
description: Format of the subtitles
@@ -762,7 +829,6 @@ components:
label: SRT
vtt:
label: VTT
-
WordSearchResponse:
x-label: Word search response
type: object
@@ -776,7 +842,9 @@ components:
format: uuid
total_count:
x-label: Total count of matches
- description: The total count of all matched instances. For e.g., word 1 matched 2 times, and word 2 matched 3 times, `total_count` will equal 5.
+ description: >-
+ The total count of all matched instances. For e.g., word 1 matched 2
+ times, and word 2 matched 3 times, `total_count` will equal 5.
type: integer
matches:
x-label: Matches
@@ -784,46 +852,53 @@ components:
type: array
items:
x-label: Match
- $ref: "#/components/schemas/WordSearchMatch"
+ $ref: '#/components/schemas/WordSearchMatch'
required:
- id
- total_count
- matches
example:
- {
- id: "d5a3d302-066e-43fb-b63b-8f57baf185db",
- total_count: 10,
- matches:
- [
- {
- text: "smoke",
- count: 6,
- timestamps:
- [
- [250, 650],
- [49168, 49398],
- [55284, 55594],
- [168888, 169118],
- [215108, 215386],
- [225944, 226170],
- ],
- indexes: [0, 136, 156, 486, 652, 698],
- },
- {
- text: "wildfires",
- count: 4,
- timestamps:
- [
- [1668, 2346],
- [33852, 34546],
- [50118, 51110],
- [231356, 232354],
- ],
- indexes: [4, 90, 140, 716],
- },
- ],
- }
-
+ id: d5a3d302-066e-43fb-b63b-8f57baf185db
+ total_count: 10
+ matches:
+ - text: smoke
+ count: 6
+ timestamps:
+ - - 250
+ - 650
+ - - 49168
+ - 49398
+ - - 55284
+ - 55594
+ - - 168888
+ - 169118
+ - - 215108
+ - 215386
+ - - 225944
+ - 226170
+ indexes:
+ - 0
+ - 136
+ - 156
+ - 486
+ - 652
+ - 698
+ - text: wildfires
+ count: 4
+ timestamps:
+ - - 1668
+ - 2346
+ - - 33852
+ - 34546
+ - - 50118
+ - 51110
+ - - 231356
+ - 232354
+ indexes:
+ - 4
+ - 90
+ - 140
+ - 716
WordSearchMatch:
type: object
x-label: Word search match
@@ -844,10 +919,12 @@ components:
type: array
items:
x-label: Timestamp
- $ref: "#/components/schemas/WordSearchTimestamp"
+ $ref: '#/components/schemas/WordSearchTimestamp'
indexes:
x-label: Indexes
- description: An array of all index locations for that word within the `words` array of the completed transcript
+ description: >-
+ An array of all index locations for that word within the `words`
+ array of the completed transcript
type: array
items:
x-label: Index
@@ -858,32 +935,42 @@ components:
- timestamps
- indexes
example:
- {
- text: "smoke",
- count: 6,
- timestamps:
- [
- [250, 650],
- [49168, 49398],
- [55284, 55594],
- [168888, 169118],
- [215108, 215386],
- [225944, 226170],
- ],
- indexes: [0, 136, 156, 486, 652, 698],
- }
-
+ text: smoke
+ count: 6
+ timestamps:
+ - - 250
+ - 650
+ - - 49168
+ - 49398
+ - - 55284
+ - 55594
+ - - 168888
+ - 169118
+ - - 215108
+ - 215386
+ - - 225944
+ - 226170
+ indexes:
+ - 0
+ - 136
+ - 156
+ - 486
+ - 652
+ - 698
WordSearchTimestamp:
x-label: Word search timestamp
- description: An array of timestamps structured as [`start_time`, `end_time`] in milliseconds
+ description: >-
+ An array of timestamps structured as [`start_time`, `end_time`] in
+ milliseconds
x-fern-sdk-group-name: transcripts
type: array
items:
x-label: Timestamp
description: Timestamp in milliseconds
type: integer
- example: [250, 650]
-
+ example:
+ - 250
+ - 650
Timestamp:
x-label: Timestamp
description: Timestamp containing a start and end property in milliseconds
@@ -902,9 +989,9 @@ components:
required:
- start
- end
- example: { start: 3978, end: 5114 }
-
- # This type is used by the Transcriber
+ example:
+ start: 3978
+ end: 5114
TranscriptOptionalParams:
x-label: Optional transcript parameters
description: The parameters for creating a transcript
@@ -914,488 +1001,677 @@ components:
properties:
audio_end_at:
x-label: Audio end at
- description: The point in time, in milliseconds, to stop transcribing in your media file. See [Set the start and end of the transcript](https://www.assemblyai.com/docs/pre-recorded-audio/set-the-start-and-end-of-the-transcript) for more details.
+ description: >-
+ The point in time, in milliseconds, to stop transcribing in your
+ media file. See [Set the start and end of the
+ transcript](https://www.assemblyai.com/docs/pre-recorded-audio/set-the-start-and-end-of-the-transcript)
+ for more details.
type: integer
-
audio_start_from:
x-label: Audio start from
- description: The point in time, in milliseconds, to begin transcribing in your media file. See [Set the start and end of the transcript](https://www.assemblyai.com/docs/pre-recorded-audio/set-the-start-and-end-of-the-transcript) for more details.
+ description: >-
+ The point in time, in milliseconds, to begin transcribing in your
+ media file. See [Set the start and end of the
+ transcript](https://www.assemblyai.com/docs/pre-recorded-audio/set-the-start-and-end-of-the-transcript)
+ for more details.
type: integer
-
auto_chapters:
x-label: Auto chapters
- description: |
- Enable [Auto Chapters](https://www.assemblyai.com/docs/speech-understanding/auto-chapters), can be true or false. Deprecated - use [LLM Gateway](https://www.assemblyai.com/docs/llm-gateway/quickstart) instead for more flexible chapter summaries. See the [updated Auto Chapters page](https://www.assemblyai.com/docs/speech-understanding/auto-chapters) for details.
+ description: >
+ Enable [Auto
+ Chapters](https://www.assemblyai.com/docs/speech-understanding/auto-chapters),
+ can be true or false. Deprecated - use [LLM
+ Gateway](https://www.assemblyai.com/docs/llm-gateway/quickstart)
+ instead for more flexible chapter summaries. See the [updated Auto
+ Chapters
+ page](https://www.assemblyai.com/docs/speech-understanding/auto-chapters)
+ for details.
+
Note: This parameter is only supported for the Universal-2 model.
type: boolean
default: false
deprecated: true
-
auto_highlights:
x-label: Key phrases
- description: Enable [Key Phrases](https://www.assemblyai.com/docs/speech-understanding/key-phrases), either true or false
+ description: >-
+ Enable [Key
+ Phrases](https://www.assemblyai.com/docs/speech-understanding/key-phrases),
+ either true or false
type: boolean
default: false
-
content_safety:
x-label: Content Moderation
- description: Enable [Content Moderation](https://www.assemblyai.com/docs/content-moderation), can be true or false
+ description: >-
+ Enable [Content
+ Moderation](https://www.assemblyai.com/docs/content-moderation), can
+ be true or false
type: boolean
default: false
-
content_safety_confidence:
x-label: Content Moderation confidence
- description: The confidence threshold for the [Content Moderation](https://www.assemblyai.com/docs/content-moderation) model. Values must be between 25 and 100.
+ description: >-
+ The confidence threshold for the [Content
+ Moderation](https://www.assemblyai.com/docs/content-moderation)
+ model. Values must be between 25 and 100.
type: integer
default: 50
minimum: 25
maximum: 100
-
custom_spelling:
x-label: Custom spellings
- description: Customize how words are spelled and formatted using to and from values. See [Custom Spelling](https://www.assemblyai.com/docs/pre-recorded-audio/correct-spelling-of-terms) for more details.
+ description: >-
+ Customize how words are spelled and formatted using to and from
+ values. See [Custom
+ Spelling](https://www.assemblyai.com/docs/pre-recorded-audio/correct-spelling-of-terms)
+ for more details.
type: array
items:
x-label: Custom spelling
- $ref: "#/components/schemas/TranscriptCustomSpelling"
-
+ $ref: '#/components/schemas/TranscriptCustomSpelling'
disfluencies:
x-label: Disfluencies
- description: Transcribe [Filler Words](https://www.assemblyai.com/docs/pre-recorded-audio/include-filler-words), like "umm", in your media file; can be true or false. Supported on Universal-3 Pro and Universal-2.
+ description: >-
+ Transcribe [Filler
+ Words](https://www.assemblyai.com/docs/pre-recorded-audio/include-filler-words),
+ like "umm", in your media file; can be true or false. Supported on
+ Universal-3 Pro and Universal-2.
type: boolean
default: false
-
domain:
x-label: Domain
- description: |
- Enable domain-specific transcription models to improve accuracy for specialized terminology. Set to `"medical-v1"` to enable [Medical Mode](https://www.assemblyai.com/docs/pre-recorded-audio/medical-mode) for improved accuracy of medical terms such as medications, procedures, conditions, and dosages.
+ description: >
+ Enable domain-specific transcription models to improve accuracy for
+ specialized terminology. Set to `"medical-v1"` to enable [Medical
+ Mode](https://www.assemblyai.com/docs/pre-recorded-audio/medical-mode)
+ for improved accuracy of medical terms such as medications,
+ procedures, conditions, and dosages.
- Supported languages: English (`en`), Spanish (`es`), German (`de`), French (`fr`). If used with an unsupported language, the parameter is ignored and a warning is returned.
+
+ Supported languages: English (`en`), Spanish (`es`), German (`de`),
+ French (`fr`). If used with an unsupported language, the parameter
+ is ignored and a warning is returned.
oneOf:
- type: string
- - type: "null"
+ - type: 'null'
default: null
-
entity_detection:
x-label: Entity Detection
- description: Enable [Entity Detection](https://www.assemblyai.com/docs/speech-understanding/entity-detection), can be true or false
+ description: >-
+ Enable [Entity
+ Detection](https://www.assemblyai.com/docs/speech-understanding/entity-detection),
+ can be true or false
type: boolean
default: false
-
filter_profanity:
x-label: Filter profanity
- description: Filter profanity from the transcribed text, can be true or false. See [Profanity Filtering](https://www.assemblyai.com/docs/profanity-filtering) for more details.
+ description: >-
+ Filter profanity from the transcribed text, can be true or false.
+ See [Profanity
+ Filtering](https://www.assemblyai.com/docs/profanity-filtering) for
+ more details.
type: boolean
default: false
-
format_text:
x-label: Format text
- description: Enable [Text Formatting](https://www.assemblyai.com/docs/pre-recorded-audio), can be true or false
+ description: >-
+ Enable [Text
+ Formatting](https://www.assemblyai.com/docs/pre-recorded-audio), can
+ be true or false
type: boolean
default: true
-
iab_categories:
x-label: Topic Detection
- description: Enable [Topic Detection](https://www.assemblyai.com/docs/speech-understanding/topic-detection), can be true or false
+ description: >-
+ Enable [Topic
+ Detection](https://www.assemblyai.com/docs/speech-understanding/topic-detection),
+ can be true or false
type: boolean
default: false
-
keyterms_prompt:
x-label: Keyterms prompt
- description: |
- Improve accuracy with up to 200 (for Universal-2) or 1000 (for Universal-3 Pro) domain-specific words or phrases (maximum 6 words per phrase). See [Keyterms Prompting](https://www.assemblyai.com/docs/pre-recorded-audio/universal-3-pro/prompting#keyterms-prompting) for more details.
+ description: >
+ Improve accuracy with up to 200 (for Universal-2) or 1000 (for
+ Universal-3 Pro) domain-specific words or phrases (maximum 6 words
+ per phrase). See [Keyterms
+ Prompting](https://www.assemblyai.com/docs/pre-recorded-audio/universal-3-pro/prompting#keyterms-prompting)
+ for more details.
type: array
items:
x-label: Keyterm
type: string
-
language_code:
x-label: Language code
- description: |
- The language of your audio file. Possible values are found in [Supported Languages](https://www.assemblyai.com/docs/pre-recorded-audio/supported-languages).
+ description: >
+ The language of your audio file. Possible values are found in
+ [Supported
+ Languages](https://www.assemblyai.com/docs/pre-recorded-audio/supported-languages).
+
The default value is 'en_us'.
oneOf:
- anyOf:
- - $ref: "#/components/schemas/TranscriptLanguageCode"
+ - $ref: '#/components/schemas/TranscriptLanguageCode'
- type: string
- - type: "null"
+ - type: 'null'
default: en_us
x-ts-type: LiteralUnion | null
x-go-type: TranscriptLanguageCode
-
language_codes:
- description: |
- The language codes of your audio file. Used for [Code switching](/speech-to-text/pre-recorded-audio/code-switching)
+ description: >
+ The language codes of your audio file. Used for [Code
+ switching](/speech-to-text/pre-recorded-audio/code-switching)
+
One of the values specified must be `en`.
- type: [array, "null"]
+ type:
+ - array
+ - 'null'
items:
x-label: Language code
- $ref: "#/components/schemas/TranscriptLanguageCode"
-
+ $ref: '#/components/schemas/TranscriptLanguageCode'
language_confidence_threshold:
x-label: Language confidence threshold
- description: |
+ description: >
The confidence threshold for the automatically detected language.
- An error will be returned if the language confidence is below this threshold.
- Defaults to 0. See [Automatic Language Detection](https://www.assemblyai.com/docs/pre-recorded-audio/language-detection) for more details.
+
+ An error will be returned if the language confidence is below this
+ threshold.
+
+ Defaults to 0. See [Automatic Language
+ Detection](https://www.assemblyai.com/docs/pre-recorded-audio/language-detection)
+ for more details.
type: number
format: float
minimum: 0
maximum: 1
default: 0
-
language_detection:
x-label: Language detection
- description: Enable [Automatic language detection](https://www.assemblyai.com/docs/pre-recorded-audio/language-detection), either true or false.
+ description: >-
+ Enable [Automatic language
+ detection](https://www.assemblyai.com/docs/pre-recorded-audio/language-detection),
+ either true or false.
type: boolean
default: false
-
language_detection_options:
x-label: Specify options for Automatic Language Detection.
- description: Specify options for [Automatic Language Detection](https://www.assemblyai.com/docs/pre-recorded-audio/language-detection).
+ description: >-
+ Specify options for [Automatic Language
+ Detection](https://www.assemblyai.com/docs/pre-recorded-audio/language-detection).
type: object
additionalProperties: false
properties:
expected_languages:
x-label: Expected languages
- description: List of languages expected in the audio file. Defaults to `["all"]` when unspecified. See [Automatic Language Detection](https://www.assemblyai.com/docs/pre-recorded-audio/language-detection) for more details.
+ description: >-
+ List of languages expected in the audio file. Defaults to
+ `["all"]` when unspecified. See [Automatic Language
+ Detection](https://www.assemblyai.com/docs/pre-recorded-audio/language-detection)
+ for more details.
type: array
items:
x-label: language
type: string
fallback_language:
x-label: Fallback language
- description: |
- If the detected language of the audio file is not in the list of expected languages, the `fallback_language` is used. Specify `["auto"]` to let our model choose the fallback language from `expected_languages` with the highest confidence score. See [Automatic Language Detection](https://www.assemblyai.com/docs/pre-recorded-audio/language-detection) for more details.
+ description: >
+ If the detected language of the audio file is not in the list of
+ expected languages, the `fallback_language` is used. Specify
+ `["auto"]` to let our model choose the fallback language from
+ `expected_languages` with the highest confidence score. See
+ [Automatic Language
+ Detection](https://www.assemblyai.com/docs/pre-recorded-audio/language-detection)
+ for more details.
type: string
- default: "auto"
+ default: auto
code_switching:
x-label: Code switching
- description: |
- Whether [code switching](/speech-to-text/pre-recorded-audio/code-switching) should be detected.
+ description: >
+ Whether [code
+ switching](/speech-to-text/pre-recorded-audio/code-switching)
+ should be detected.
type: boolean
default: false
code_switching_confidence_threshold:
x-label: Code switching confidence threshold
- description: |
- The confidence threshold for [code switching](/speech-to-text/pre-recorded-audio/code-switching) detection. If the code switching confidence is below this threshold, the transcript will be processed in the language with the highest `language_detection_confidence` score.
+ description: >
+ The confidence threshold for [code
+ switching](/speech-to-text/pre-recorded-audio/code-switching)
+ detection. If the code switching confidence is below this
+ threshold, the transcript will be processed in the language with
+ the highest `language_detection_confidence` score.
type: number
minimum: 0
maximum: 1
default: 0.3
-
multichannel:
x-label: Multichannel
- description: Enable [Multichannel](https://www.assemblyai.com/docs/pre-recorded-audio/transcribe-multiple-audio-channels) transcription, can be true or false.
+ description: >-
+ Enable
+ [Multichannel](https://www.assemblyai.com/docs/pre-recorded-audio/transcribe-multiple-audio-channels)
+ transcription, can be true or false.
type: boolean
default: false
-
prompt:
x-label: Prompt
- description: |
- Provide natural language prompting of up to 1,500 words of contextual information to the model. See the [Prompting Guide](https://www.assemblyai.com/docs/pre-recorded-audio/prompting) for best practices.
+ description: >
+ Provide natural language prompting of up to 1,500 words of
+ contextual information to the model. See the [Prompting
+ Guide](https://www.assemblyai.com/docs/pre-recorded-audio/prompting)
+ for best practices.
- Note: This parameter is only supported for the Universal-3 Pro model.
- type: string
+ Note: This parameter is only supported for the Universal-3 Pro
+ model.
+ type: string
punctuate:
x-label: Punctuate
- description: Enable [Automatic Punctuation](https://www.assemblyai.com/docs/pre-recorded-audio), can be true or false
+ description: >-
+ Enable [Automatic
+ Punctuation](https://www.assemblyai.com/docs/pre-recorded-audio),
+ can be true or false
type: boolean
default: true
-
redact_pii:
x-label: Redact PII
- description: Redact PII from the transcribed text using the Redact PII model, can be true or false. See [PII Redaction](https://www.assemblyai.com/docs/pii-redaction) for more details.
+ description: >-
+ Redact PII from the transcribed text using the Redact PII model, can
+ be true or false. See [PII
+ Redaction](https://www.assemblyai.com/docs/pii-redaction) for more
+ details.
type: boolean
default: false
-
redact_pii_audio:
x-label: Redact PII audio
- description: Generate a copy of the original media file with spoken PII "beeped" out, can be true or false. See [PII redaction](https://www.assemblyai.com/docs/pii-redaction#request-for-redacted-audio) for more details.
+ description: >-
+ Generate a copy of the original media file with spoken PII "beeped"
+ out, can be true or false. See [PII
+ redaction](https://www.assemblyai.com/docs/pii-redaction#request-for-redacted-audio)
+ for more details.
type: boolean
default: false
-
redact_pii_audio_options:
x-label: Specify options for PII redacted audio files.
- description: Specify options for [PII redacted audio](https://www.assemblyai.com/docs/pii-redaction#request-for-redacted-audio) files.
+ description: >-
+ Specify options for [PII redacted
+ audio](https://www.assemblyai.com/docs/pii-redaction#request-for-redacted-audio)
+ files.
type: object
additionalProperties: false
properties:
return_redacted_no_speech_audio:
x-label: Return redacted no speech audio
- description: By default, audio redaction provides redacted audio URLs only when speech is detected. However, if your use-case specifically requires redacted audio files even for silent audio files without any dialogue, you can opt to receive these URLs by setting this parameter to `true`.
+ description: >-
+ By default, audio redaction provides redacted audio URLs only
+ when speech is detected. However, if your use-case specifically
+ requires redacted audio files even for silent audio files
+ without any dialogue, you can opt to receive these URLs by
+ setting this parameter to `true`.
type: boolean
default: false
override_audio_redaction_method:
x-label: Override audio redaction method
- description: Specify the method used to redact audio. By default, redacted audio uses a beep sound. Set to `silence` to replace PII with silence instead of a beep.
+ description: >-
+ Specify the method used to redact audio. By default, redacted
+ audio uses a beep sound. Set to `silence` to replace PII with
+ silence instead of a beep.
type: string
enum:
- silence
-
redact_pii_audio_quality:
x-label: Redact PII audio quality
- description: Controls the filetype of the audio created by redact_pii_audio. Currently supports mp3 (default) and wav. See [PII redaction](https://www.assemblyai.com/docs/pii-redaction#request-for-redacted-audio) for more details.
+ description: >-
+ Controls the filetype of the audio created by redact_pii_audio.
+ Currently supports mp3 (default) and wav. See [PII
+ redaction](https://www.assemblyai.com/docs/pii-redaction#request-for-redacted-audio)
+ for more details.
default: mp3
- $ref: "#/components/schemas/RedactPiiAudioQuality"
-
+ $ref: '#/components/schemas/RedactPiiAudioQuality'
redact_pii_policies:
x-label: Redact PII policies
- description: The list of PII Redaction policies to enable. See [PII redaction](https://www.assemblyai.com/docs/pii-redaction) for more details.
+ description: >-
+ The list of PII Redaction policies to enable. See [PII
+ redaction](https://www.assemblyai.com/docs/pii-redaction) for more
+ details.
type: array
items:
x-label: PII policy
- $ref: "#/components/schemas/PiiPolicy"
-
+ $ref: '#/components/schemas/PiiPolicy'
redact_pii_sub:
x-label: Redact PII substitution
- description: The replacement logic for detected PII, can be `entity_type` or `hash`. See [PII redaction](https://www.assemblyai.com/docs/pii-redaction) for more details.
+ description: >-
+ The replacement logic for detected PII, can be `entity_type` or
+ `hash`. See [PII
+ redaction](https://www.assemblyai.com/docs/pii-redaction) for more
+ details.
oneOf:
- - $ref: "#/components/schemas/SubstitutionPolicy"
- - type: "null"
+ - $ref: '#/components/schemas/SubstitutionPolicy'
+ - type: 'null'
default: hash
-
redact_pii_return_unredacted:
x-label: Return unredacted transcript
- description: |
- When set to `true`, returns the original unredacted transcript alongside the redacted one in the same response. Requires `redact_pii` to be `true`, otherwise a 400 error is returned.
-
- When enabled, the response includes the additional fields `unredacted_text`, `unredacted_words`, and `unredacted_utterances`. The existing `text`, `words`, and `utterances` fields remain fully redacted. When disabled (default), the response is unchanged and contains only the redacted transcript. See [PII redaction](https://www.assemblyai.com/docs/pii-redaction) for more details.
+ description: >
+ When set to `true`, returns the original unredacted transcript
+ alongside the redacted one in the same response. Requires
+ `redact_pii` to be `true`, otherwise a 400 error is returned.
+
+
+ When enabled, the response includes the additional fields
+ `unredacted_text`, `unredacted_words`, and `unredacted_utterances`.
+ The existing `text`, `words`, and `utterances` fields remain fully
+ redacted. When disabled (default), the response is unchanged and
+ contains only the redacted transcript. See [PII
+ redaction](https://www.assemblyai.com/docs/pii-redaction) for more
+ details.
type: boolean
default: false
-
redact_static_entities:
x-label: Redact static entities
- description: |
- A map of user-defined terms to redact, where each key is a redaction label and each value is a list of exact terms to match (e.g. `{ "INTERNAL_TOOL": ["Bearclaw", "Cubclaw"] }`). Each matching term in the transcript is redacted using the `redact_pii_sub` substitution, on top of standard PII Redaction. Useful for redacting specific, predefined terms (proprietary names, internal codenames) that aren't general PII categories.
-
- This is a literal find-and-replace (tolerant of casing, surrounding punctuation, and minor spacing/hyphenation), not a model — it does not generalize beyond the terms you provide. Requires `redact_pii` to be `true`, otherwise a 400 error is returned. When `redact_pii_audio` is enabled, matched terms are also redacted in the audio output. See [Static Entity Redaction](https://www.assemblyai.com/docs/guardrails/redact-pii-from-transcripts#static-entity-redaction) for more details.
+ description: >
+ A map of user-defined terms to redact, where each key is a redaction
+ label and each value is a list of exact terms to match (e.g. `{
+ "INTERNAL_TOOL": ["Bearclaw", "Cubclaw"] }`). Each matching term in
+ the transcript is redacted using the `redact_pii_sub` substitution,
+ on top of standard PII Redaction. Useful for redacting specific,
+ predefined terms (proprietary names, internal codenames) that aren't
+ general PII categories.
+
+
+ This is a literal find-and-replace (tolerant of casing, surrounding
+ punctuation, and minor spacing/hyphenation), not a model — it does
+ not generalize beyond the terms you provide. Requires `redact_pii`
+ to be `true`, otherwise a 400 error is returned. When
+ `redact_pii_audio` is enabled, matched terms are also redacted in
+ the audio output. See [Static Entity
+ Redaction](https://www.assemblyai.com/docs/guardrails/redact-pii-from-transcripts#static-entity-redaction)
+ for more details.
type: object
additionalProperties:
type: array
items:
type: string
-
sentiment_analysis:
x-label: Sentiment Analysis
- description: Enable [Sentiment Analysis](https://www.assemblyai.com/docs/speech-understanding/sentiment-analysis), can be true or false
+ description: >-
+ Enable [Sentiment
+ Analysis](https://www.assemblyai.com/docs/speech-understanding/sentiment-analysis),
+ can be true or false
type: boolean
default: false
-
speaker_labels:
x-label: Speaker labels
- description: Enable [Speaker diarization](https://www.assemblyai.com/docs/pre-recorded-audio/label-speakers), can be true or false
+ description: >-
+ Enable [Speaker
+ diarization](https://www.assemblyai.com/docs/pre-recorded-audio/label-speakers),
+ can be true or false
type: boolean
default: false
-
speaker_options:
x-label: Specify options for speaker diarization.
- description: Specify options for [Speaker diarization](https://www.assemblyai.com/docs/pre-recorded-audio/label-speakers#set-a-range-of-possible-speakers). Use this to set a range of possible speakers.
+ description: >-
+ Specify options for [Speaker
+ diarization](https://www.assemblyai.com/docs/pre-recorded-audio/label-speakers#set-a-range-of-possible-speakers).
+ Use this to set a range of possible speakers.
type: object
additionalProperties: false
properties:
min_speakers_expected:
x-label: Minimum speakers expected
- description: The minimum number of speakers expected in the audio file. See [Set a range of possible speakers](https://www.assemblyai.com/docs/pre-recorded-audio/label-speakers#set-a-range-of-possible-speakers) for more details.
+ description: >-
+ The minimum number of speakers expected in the audio file. See
+ [Set a range of possible
+ speakers](https://www.assemblyai.com/docs/pre-recorded-audio/label-speakers#set-a-range-of-possible-speakers)
+ for more details.
type: integer
default: 1
max_speakers_expected:
x-label: Maximum speakers expected
- description: |
- Setting this parameter too high may hurt model accuracy
- The maximum number of speakers expected in the audio file. The default depends on audio duration: no limit for 0-2 minutes, 10 for 2-10 minutes, and 30 for 10+ minutes. See [Set a range of possible speakers](https://www.assemblyai.com/docs/pre-recorded-audio/label-speakers#set-a-range-of-possible-speakers) for more details.
+ description: >
+ Setting this parameter too high may hurt model
+ accuracy
+
+ The maximum number of speakers expected in the audio file. The
+ default depends on audio duration: no limit for 0-2 minutes, 10
+ for 2-10 minutes, and 30 for 10+ minutes. See [Set a range of
+ possible
+ speakers](https://www.assemblyai.com/docs/pre-recorded-audio/label-speakers#set-a-range-of-possible-speakers)
+ for more details.
type: integer
-
speakers_expected:
x-label: Speakers expected
- description: Tells the speaker label model how many speakers it should attempt to identify. See [Set number of speakers expected](https://www.assemblyai.com/docs/pre-recorded-audio/label-speakers#set-number-of-speakers-expected) for more details.
- type: [integer, "null"]
+ description: >-
+ Tells the speaker label model how many speakers it should attempt to
+ identify. See [Set number of speakers
+ expected](https://www.assemblyai.com/docs/pre-recorded-audio/label-speakers#set-number-of-speakers-expected)
+ for more details.
+ type:
+ - integer
+ - 'null'
default: null
-
speech_models:
x-label: Speech models
- description: |
- Optional. List multiple speech models in priority order, allowing our system to automatically route your audio to the best available option. If omitted, defaults to `["universal-3-pro", "universal-2"]`. See [Model Selection](https://www.assemblyai.com/docs/pre-recorded-audio/select-the-speech-model) for available models and routing behavior.
+ description: >
+ Optional. List multiple speech models in priority order, allowing
+ our system to automatically route your audio to the best available
+ option. If omitted, defaults to `["universal-3-pro",
+ "universal-2"]`. See [Model
+ Selection](https://www.assemblyai.com/docs/pre-recorded-audio/select-the-speech-model)
+ for available models and routing behavior.
type: array
items:
x-label: Speech model
- $ref: "#/components/schemas/SpeechModel"
+ $ref: '#/components/schemas/SpeechModel'
default:
- universal-3-pro
- universal-2
-
speech_threshold:
x-label: Speech threshold
- description: |
+ description: >
Reject audio files that contain less than this fraction of speech.
- Valid values are in the range [0, 1] inclusive. See [Speech Threshold](https://www.assemblyai.com/docs/speech-threshold) for more details.
- type: [number, "null"]
+
+ Valid values are in the range [0, 1] inclusive. See [Speech
+ Threshold](https://www.assemblyai.com/docs/speech-threshold) for
+ more details.
+ type:
+ - number
+ - 'null'
format: float
minimum: 0
maximum: 1
default: 0
-
speech_understanding:
x-label: Speech Understanding
- description: |
- Enable speech understanding tasks like [Translation](https://www.assemblyai.com/docs/speech-understanding/translation), [Speaker Identification](https://www.assemblyai.com/docs/speech-understanding/speaker-identification), and [Custom Formatting](https://www.assemblyai.com/docs/speech-understanding/custom-formatting). See the task-specific docs for available options and configuration.
+ description: >
+ Enable speech understanding tasks like
+ [Translation](https://www.assemblyai.com/docs/speech-understanding/translation),
+ [Speaker
+ Identification](https://www.assemblyai.com/docs/speech-understanding/speaker-identification),
+ and [Custom
+ Formatting](https://www.assemblyai.com/docs/speech-understanding/custom-formatting).
+ See the task-specific docs for available options and configuration.
type: object
properties:
request:
oneOf:
- - $ref: "#/components/schemas/TranslationRequestBody"
- - $ref: "#/components/schemas/SpeakerIdentificationRequestBody"
- - $ref: "#/components/schemas/CustomFormattingRequestBody"
+ - $ref: '#/components/schemas/TranslationRequestBody'
+ - $ref: '#/components/schemas/SpeakerIdentificationRequestBody'
+ - $ref: '#/components/schemas/CustomFormattingRequestBody'
required:
- request
summarization:
x-label: Enable Summarization
- description: |
- Enable [Summarization](https://www.assemblyai.com/docs/speech-understanding/summarization), can be true or false. Deprecated - use [LLM Gateway](https://www.assemblyai.com/docs/llm-gateway/quickstart) instead for more flexible summaries. See the [updated Summarization page](https://www.assemblyai.com/docs/speech-understanding/summarization) for details.
+ description: >
+ Enable
+ [Summarization](https://www.assemblyai.com/docs/speech-understanding/summarization),
+ can be true or false. Deprecated - use [LLM
+ Gateway](https://www.assemblyai.com/docs/llm-gateway/quickstart)
+ instead for more flexible summaries. See the [updated Summarization
+ page](https://www.assemblyai.com/docs/speech-understanding/summarization)
+ for details.
+
Note: This parameter is only supported for the Universal-2 model.
type: boolean
default: false
deprecated: true
-
summary_model:
x-label: Summary model
- description: The model to summarize the transcript. Deprecated - use [LLM Gateway](https://www.assemblyai.com/docs/llm-gateway/quickstart) instead for more flexible summaries. See the [updated Summarization page](https://www.assemblyai.com/docs/speech-understanding/summarization) for details.
+ description: >-
+ The model to summarize the transcript. Deprecated - use [LLM
+ Gateway](https://www.assemblyai.com/docs/llm-gateway/quickstart)
+ instead for more flexible summaries. See the [updated Summarization
+ page](https://www.assemblyai.com/docs/speech-understanding/summarization)
+ for details.
default: informative
deprecated: true
- $ref: "#/components/schemas/SummaryModel"
-
+ $ref: '#/components/schemas/SummaryModel'
summary_type:
x-label: Summary type
- description: The type of summary. Deprecated - use [LLM Gateway](https://www.assemblyai.com/docs/llm-gateway/quickstart) instead for more flexible summaries. See the [updated Summarization page](https://www.assemblyai.com/docs/speech-understanding/summarization) for details.
+ description: >-
+ The type of summary. Deprecated - use [LLM
+ Gateway](https://www.assemblyai.com/docs/llm-gateway/quickstart)
+ instead for more flexible summaries. See the [updated Summarization
+ page](https://www.assemblyai.com/docs/speech-understanding/summarization)
+ for details.
default: bullets
deprecated: true
- $ref: "#/components/schemas/SummaryType"
-
+ $ref: '#/components/schemas/SummaryType'
remove_audio_tags:
x-label: Remove audio tags
- description: |
- Universal-3 Pro generates rich transcripts that can include inline annotations such as audio event markers and speaker cues. Set to `"all"` to remove all inline annotations, or `"speaker"` to remove only speaker cues while keeping other annotations.
+ description: >
+ Universal-3 Pro generates rich transcripts that can include inline
+ annotations such as audio event markers and speaker cues. Set to
+ `"all"` to remove all inline annotations, or `"speaker"` to remove
+ only speaker cues while keeping other annotations.
+
- Note: This parameter is only supported for the Universal-3 Pro model.
+ Note: This parameter is only supported for the Universal-3 Pro
+ model.
oneOf:
- type: string
enum:
- all
- speaker
- - type: "null"
+ - type: 'null'
default: null
-
temperature:
x-label: Temperature
- description: |
- Control the amount of randomness injected into the model's response. See the [Prompting Guide](https://www.assemblyai.com/docs/pre-recorded-audio/prompting) for more details.
+ description: >
+ Control the amount of randomness injected into the model's response.
+ See the [Prompting
+ Guide](https://www.assemblyai.com/docs/pre-recorded-audio/prompting)
+ for more details.
- Note: This parameter can only be used with the Universal-3 Pro model.
- type: number
- minimum: 0.0
- maximum: 1.0
- default: 0.0
+ Note: This parameter can only be used with the Universal-3 Pro
+ model.
+ type: number
+ minimum: 0
+ maximum: 1
+ default: 0
webhook_auth_header_name:
x-label: Webhook auth header name
- description: The header name to be sent with the transcript completed or failed [webhook](https://www.assemblyai.com/docs/deployment/webhooks-for-pre-recorded-audio) requests
- type: [string, "null"]
+ description: >-
+ The header name to be sent with the transcript completed or failed
+ [webhook](https://www.assemblyai.com/docs/deployment/webhooks-for-pre-recorded-audio)
+ requests
+ type:
+ - string
+ - 'null'
default: null
-
webhook_auth_header_value:
x-label: Webhook auth header value
- description: The header value to send back with the transcript completed or failed [webhook](https://www.assemblyai.com/docs/deployment/webhooks-for-pre-recorded-audio) requests for added security
- type: [string, "null"]
+ description: >-
+ The header value to send back with the transcript completed or
+ failed
+ [webhook](https://www.assemblyai.com/docs/deployment/webhooks-for-pre-recorded-audio)
+ requests for added security
+ type:
+ - string
+ - 'null'
default: null
-
webhook_url:
x-label: Webhook URL
- description: |
- The URL to which we send [webhook](https://www.assemblyai.com/docs/deployment/webhooks-for-pre-recorded-audio) requests.
+ description: >
+ The URL to which we send
+ [webhook](https://www.assemblyai.com/docs/deployment/webhooks-for-pre-recorded-audio)
+ requests.
type: string
format: url
-
custom_topics:
x-label: Enable custom topics
- description: This parameter does not currently have any functionality attached to it.
+ description: >-
+ This parameter does not currently have any functionality attached to
+ it.
type: boolean
default: false
deprecated: true
-
speech_model:
x-label: Speech model
- description: |
- This parameter has been replaced with the `speech_models` parameter, learn more about the `speech_models` parameter [here](https://www.assemblyai.com/docs/pre-recorded-audio/select-the-speech-model).
+ description: >
+ This parameter has been replaced with the `speech_models` parameter,
+ learn more about the `speech_models` parameter
+ [here](https://www.assemblyai.com/docs/pre-recorded-audio/select-the-speech-model).
oneOf:
- - $ref: "#/components/schemas/SpeechModel"
- - type: "null"
- deprecated: True
-
+ - $ref: '#/components/schemas/SpeechModel'
+ - type: 'null'
+ deprecated: true
topics:
x-label: Custom topics
- description: This parameter does not currently have any functionality attached to it.
+ description: >-
+ This parameter does not currently have any functionality attached to
+ it.
type: array
items:
x-label: Topic
type: string
deprecated: true
-
example:
- {
- speech_model: null,
- language_code: "en_us",
- language_detection: true,
- language_confidence_threshold: 0.7,
- punctuate: true,
- format_text: true,
- multichannel: true,
- webhook_url: "https://your-webhook-url.tld/path",
- webhook_auth_header_name: "webhook-secret",
- webhook_auth_header_value: "webhook-secret-value",
- auto_highlights: true,
- audio_start_from: 10,
- audio_end_at: 280,
- filter_profanity: true,
- redact_pii: true,
- redact_pii_audio: true,
- redact_pii_audio_quality: "mp3",
- redact_pii_policies:
- ["us_social_security_number", "credit_card_number"],
- redact_pii_sub: "hash",
- speaker_labels: true,
- speakers_expected: 2,
- content_safety: true,
- iab_categories: true,
- custom_spelling: [],
- disfluencies: false,
- sentiment_analysis: true,
- auto_chapters: false,
- entity_detection: true,
- speech_threshold: 0.5,
- summarization: false,
- summary_model: null,
- summary_type: null,
- custom_topics: true,
- topics: [],
- remove_audio_tags: null,
- domain: null,
- speech_understanding:
- {
- request:
- {
- translation:
- {
- target_languages: ["es", "de"],
- formal: true,
- match_original_utterance: true,
- },
- },
- },
- }
-
+ speech_model: null
+ language_code: en_us
+ language_detection: true
+ language_confidence_threshold: 0.7
+ punctuate: true
+ format_text: true
+ multichannel: true
+ webhook_url: https://your-webhook-url.tld/path
+ webhook_auth_header_name: webhook-secret
+ webhook_auth_header_value: webhook-secret-value
+ auto_highlights: true
+ audio_start_from: 10
+ audio_end_at: 280
+ filter_profanity: true
+ redact_pii: true
+ redact_pii_audio: true
+ redact_pii_audio_quality: mp3
+ redact_pii_policies:
+ - us_social_security_number
+ - credit_card_number
+ redact_pii_sub: hash
+ speaker_labels: true
+ speakers_expected: 2
+ content_safety: true
+ iab_categories: true
+ custom_spelling: []
+ disfluencies: false
+ sentiment_analysis: true
+ auto_chapters: false
+ entity_detection: true
+ speech_threshold: 0.5
+ summarization: false
+ summary_model: null
+ summary_type: null
+ custom_topics: true
+ topics: []
+ remove_audio_tags: null
+ domain: null
+ speech_understanding:
+ request:
+ translation:
+ target_languages:
+ - es
+ - de
+ formal: true
+ match_original_utterance: true
TranscriptParams:
x-label: Transcript parameters
description: The parameters for creating a transcript
@@ -1404,7 +1680,8 @@ components:
additionalProperties: false
allOf:
- type: object
- required: [audio_url]
+ required:
+ - audio_url
properties:
audio_url:
x-label: Audio URL
@@ -1412,61 +1689,55 @@ components:
type: string
format: url
additionalProperties: false
- - $ref: "#/components/schemas/TranscriptOptionalParams"
+ - $ref: '#/components/schemas/TranscriptOptionalParams'
example:
- {
- speech_model: null,
- language_code: "en_us",
- language_detection: true,
- language_confidence_threshold: 0.7,
- audio_url: "https://assembly.ai/wildfires.mp3",
- punctuate: true,
- format_text: true,
- multichannel: true,
- webhook_url: "https://your-webhook-url/path",
- webhook_auth_header_name: "webhook-secret",
- webhook_auth_header_value: "webhook-secret-value",
- auto_highlights: true,
- audio_start_from: 10,
- audio_end_at: 280,
- filter_profanity: true,
- redact_pii: true,
- redact_pii_audio: true,
- redact_pii_audio_quality: "mp3",
- redact_pii_policies:
- ["us_social_security_number", "credit_card_number"],
- redact_pii_sub: "hash",
- speaker_labels: true,
- speakers_expected: 2,
- content_safety: true,
- iab_categories: true,
- custom_spelling: [],
- disfluencies: false,
- sentiment_analysis: true,
- auto_chapters: false,
- entity_detection: true,
- speech_threshold: 0.5,
- summarization: false,
- summary_model: null,
- summary_type: null,
- custom_topics: true,
- topics: [],
- remove_audio_tags: null,
- domain: null,
- speech_understanding:
- {
- request:
- {
- translation:
- {
- target_languages: ["es", "de"],
- formal: true,
- match_original_utterance: true,
- },
- },
- },
- }
-
+ speech_model: null
+ language_code: en_us
+ language_detection: true
+ language_confidence_threshold: 0.7
+ audio_url: https://assembly.ai/wildfires.mp3
+ punctuate: true
+ format_text: true
+ multichannel: true
+ webhook_url: https://your-webhook-url/path
+ webhook_auth_header_name: webhook-secret
+ webhook_auth_header_value: webhook-secret-value
+ auto_highlights: true
+ audio_start_from: 10
+ audio_end_at: 280
+ filter_profanity: true
+ redact_pii: true
+ redact_pii_audio: true
+ redact_pii_audio_quality: mp3
+ redact_pii_policies:
+ - us_social_security_number
+ - credit_card_number
+ redact_pii_sub: hash
+ speaker_labels: true
+ speakers_expected: 2
+ content_safety: true
+ iab_categories: true
+ custom_spelling: []
+ disfluencies: false
+ sentiment_analysis: true
+ auto_chapters: false
+ entity_detection: true
+ speech_threshold: 0.5
+ summarization: false
+ summary_model: null
+ summary_type: null
+ custom_topics: true
+ topics: []
+ remove_audio_tags: null
+ domain: null
+ speech_understanding:
+ request:
+ translation:
+ target_languages:
+ - es
+ - de
+ formal: true
+ match_original_utterance: true
SummaryModel:
type: string
x-label: Summary model
@@ -1483,7 +1754,6 @@ components:
label: Conversational
catchy:
label: Catchy
-
SummaryType:
type: string
x-label: Summary type
@@ -1506,10 +1776,11 @@ components:
label: Headline
paragraph:
label: Paragraph
-
TranscriptCustomSpelling:
x-label: Custom spelling
- description: Object containing words or phrases to replace, and the word or phrase to replace with
+ description: >-
+ Object containing words or phrases to replace, and the word or phrase to
+ replace with
x-fern-sdk-group-name: transcripts
type: object
additionalProperties: false
@@ -1526,9 +1797,13 @@ components:
x-label: To
description: Word to replace with
type: string
- required: [from, to]
- example: { from: ["dicarlo"], to: "Decarlo" }
-
+ required:
+ - from
+ - to
+ example:
+ from:
+ - dicarlo
+ to: Decarlo
TranscriptUtterance:
type: object
x-label: Utterance
@@ -1544,7 +1819,9 @@ components:
maximum: 1
start:
x-label: Start
- description: The starting time, in milliseconds, of the utterance in the audio file
+ description: >-
+ The starting time, in milliseconds, of the utterance in the audio
+ file
type: integer
end:
x-label: End
@@ -1560,18 +1837,29 @@ components:
type: array
items:
x-label: Word
- $ref: "#/components/schemas/TranscriptWord"
+ $ref: '#/components/schemas/TranscriptWord'
channel:
x-label: Channel
- description: The channel of this utterance. The left and right channels are channels 1 and 2. Additional channels increment the channel number sequentially.
- type: [string, "null"]
+ description: >-
+ The channel of this utterance. The left and right channels are
+ channels 1 and 2. Additional channels increment the channel number
+ sequentially.
+ type:
+ - string
+ - 'null'
speaker:
x-label: Speaker
- description: The speaker of this utterance, where each speaker is assigned a sequential capital letter - e.g. "A" for Speaker A, "B" for Speaker B, etc.
+ description: >-
+ The speaker of this utterance, where each speaker is assigned a
+ sequential capital letter - e.g. "A" for Speaker A, "B" for Speaker
+ B, etc.
type: string
translated_texts:
x-label: Translated texts
- description: 'Translations keyed by language code (e.g., `{"es": "Texto traducido", "de": "Ãœbersetzter Text"}`). Only present when `match_original_utterance` is enabled with translation.'
+ description: >-
+ Translations keyed by language code (e.g., `{"es": "Texto
+ traducido", "de": "Ãœbersetzter Text"}`). Only present when
+ `match_original_utterance` is enabled with translation.
type: object
additionalProperties:
type: string
@@ -1583,127 +1871,103 @@ components:
- words
- speaker
example:
- {
- confidence: 0.9359033333333334,
- end: 26950,
- speaker: "A",
- start: 250,
- text: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what's happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor.",
- words:
- [
- {
- text: "Smoke",
- start: 250,
- end: 650,
- confidence: 0.97503,
- speaker: "A",
- },
- {
- text: "from",
- start: 730,
- end: 1022,
- confidence: 0.99999,
- speaker: "A",
- },
- {
- text: "hundreds",
- start: 1076,
- end: 1418,
- confidence: 0.99843,
- speaker: "A",
- },
- {
- text: "of",
- start: 1434,
- end: 1614,
- confidence: 0.85,
- speaker: "A",
- },
- {
- text: "wildfires",
- start: 1652,
- end: 2346,
- confidence: 0.89657,
- speaker: "A",
- },
- {
- text: "in",
- start: 2378,
- end: 2526,
- confidence: 0.99994,
- speaker: "A",
- },
- {
- text: "Canada",
- start: 2548,
- end: 3130,
- confidence: 0.93864,
- speaker: "A",
- },
- {
- text: "is",
- start: 3210,
- end: 3454,
- confidence: 0.999,
- speaker: "A",
- },
- {
- text: "triggering",
- start: 3492,
- end: 3946,
- confidence: 0.75366,
- speaker: "A",
- },
- {
- text: "air",
- start: 3978,
- end: 4174,
- confidence: 1.0,
- speaker: "A",
- },
- {
- text: "quality",
- start: 4212,
- end: 4558,
- confidence: 0.87745,
- speaker: "A",
- },
- {
- text: "alerts",
- start: 4644,
- end: 5114,
- confidence: 0.94739,
- speaker: "A",
- },
- {
- text: "throughout",
- start: 5162,
- end: 5466,
- confidence: 0.99726,
- speaker: "A",
- },
- {
- text: "the",
- start: 5498,
- end: 5694,
- confidence: 0.79,
- speaker: "A",
- },
- {
- text: "US.",
- start: 5732,
- end: 6382,
- confidence: 0.88,
- speaker: "A",
- },
- ],
- }
-
+ confidence: 0.9359033333333334
+ end: 26950
+ speaker: A
+ start: 250
+ text: >-
+ Smoke from hundreds of wildfires in Canada is triggering air quality
+ alerts throughout the US. Skylines from Maine to Maryland to Minnesota
+ are gray and smoggy. And in some places, the air quality warnings
+ include the warning to stay inside. We wanted to better understand
+ what's happening here and why, so we called Peter de Carlo, an
+ associate professor in the Department of Environmental Health and
+ Engineering at Johns Hopkins University Varsity. Good morning,
+ professor.
+ words:
+ - text: Smoke
+ start: 250
+ end: 650
+ confidence: 0.97503
+ speaker: A
+ - text: from
+ start: 730
+ end: 1022
+ confidence: 0.99999
+ speaker: A
+ - text: hundreds
+ start: 1076
+ end: 1418
+ confidence: 0.99843
+ speaker: A
+ - text: of
+ start: 1434
+ end: 1614
+ confidence: 0.85
+ speaker: A
+ - text: wildfires
+ start: 1652
+ end: 2346
+ confidence: 0.89657
+ speaker: A
+ - text: in
+ start: 2378
+ end: 2526
+ confidence: 0.99994
+ speaker: A
+ - text: Canada
+ start: 2548
+ end: 3130
+ confidence: 0.93864
+ speaker: A
+ - text: is
+ start: 3210
+ end: 3454
+ confidence: 0.999
+ speaker: A
+ - text: triggering
+ start: 3492
+ end: 3946
+ confidence: 0.75366
+ speaker: A
+ - text: air
+ start: 3978
+ end: 4174
+ confidence: 1
+ speaker: A
+ - text: quality
+ start: 4212
+ end: 4558
+ confidence: 0.87745
+ speaker: A
+ - text: alerts
+ start: 4644
+ end: 5114
+ confidence: 0.94739
+ speaker: A
+ - text: throughout
+ start: 5162
+ end: 5466
+ confidence: 0.99726
+ speaker: A
+ - text: the
+ start: 5498
+ end: 5694
+ confidence: 0.79
+ speaker: A
+ - text: US.
+ start: 5732
+ end: 6382
+ confidence: 0.88
+ speaker: A
SubstitutionPolicy:
x-label: Redact PII substitution
type: string
x-fern-sdk-group-name: transcripts
- description: The replacement logic for detected PII, can be `entity_name` or `hash`. See [PII redaction](https://www.assemblyai.com/docs/pii-redaction) for more details.
+ description: >-
+ The replacement logic for detected PII, can be `entity_name` or `hash`.
+ See [PII redaction](https://www.assemblyai.com/docs/pii-redaction) for
+ more details.
enum:
- entity_name
- hash
@@ -1712,11 +1976,14 @@ components:
label: Entity name
hash:
label: Hash
-
RedactPiiAudioQuality:
x-label: Redact PII audio quality
type: string
- description: Controls the filetype of the audio created by redact_pii_audio. Currently supports mp3 (default) and wav. See [PII redaction](https://www.assemblyai.com/docs/pii-redaction#request-for-redacted-audio) for more details.
+ description: >-
+ Controls the filetype of the audio created by redact_pii_audio.
+ Currently supports mp3 (default) and wav. See [PII
+ redaction](https://www.assemblyai.com/docs/pii-redaction#request-for-redacted-audio)
+ for more details.
x-fern-sdk-group-name: transcripts
enum:
- mp3
@@ -1730,14 +1997,15 @@ components:
pascal: Mp3
screamingSnake: MP3
wav:
- description: WAV audio format is the highest quality (no compression) and larger size than MP3.
+ description: >-
+ WAV audio format is the highest quality (no compression) and larger
+ size than MP3.
x-aai-enum:
mp3:
label: MP3
wav:
label: WAV
- example: "mp3"
-
+ example: mp3
PiiPolicy:
x-label: PII policy
description: The type of PII to redact
@@ -1800,15 +2068,15 @@ components:
- zodiac_sign
x-fern-enum:
account_number:
- description:
- "Customer account or membership identification number (e.g., Policy
- No. 10042992, Member ID: HZ-5235-001)"
+ description: >-
+ Customer account or membership identification number (e.g., Policy
+ No. 10042992, Member ID: HZ-5235-001)
banking_information:
description: Banking information, including account and routing numbers
blood_type:
description: Blood type (e.g., O-, AB positive)
credit_card_cvv:
- description: "Credit card verification code (e.g., CVV: 080)"
+ description: 'Credit card verification code (e.g., CVV: 080)'
credit_card_expiration:
description: Expiration date of a credit card
credit_card_number:
@@ -1816,52 +2084,56 @@ components:
date:
description: Specific calendar date (e.g., December 18)
date_interval:
- description:
+ description: >-
Broader time periods, including date ranges, months, seasons, years,
and decades (e.g., 2020-2021, 5-9 May, January 1984)
date_of_birth:
- description: "Date of birth (e.g., Date of Birth: March 7,1961)"
+ description: 'Date of birth (e.g., Date of Birth: March 7,1961)'
drivers_license:
description: Driver's license number. (e.g., DL# 356933-540)
drug:
- description:
+ description: >-
Medications, vitamins, or supplements (e.g., Advil, Acetaminophen,
Panadol)
duration:
- description:
- Measurements of time expressed as a numerical value plus a unit (e.g.,
- 8 months, 2 years)
+ description: >-
+ Measurements of time expressed as a numerical value plus a unit
+ (e.g., 8 months, 2 years)
email_address:
description: Email address (e.g., support@assemblyai.com)
event:
description: Name of an event or holiday (e.g., Olympics, Yom Kippur)
filename:
- description:
+ description: >-
Names of computer files, including the extension or filepath (e.g.,
Taxes/2012/brad-tax-returns.pdf)
gender:
description: Terms indicating gender identity (e.g., female, male, non-binary)
gender_sexuality:
- description:
+ description: >-
Terms indicating gender identity or sexual orientation, including
slang terms (e.g., female, bisexual, trans)
healthcare_number:
- description:
- "Healthcare numbers and health plan beneficiary numbers (e.g.,
- Policy No.: 5584-486-674-YM)"
+ description: >-
+ Healthcare numbers and health plan beneficiary numbers (e.g., Policy
+ No.: 5584-486-674-YM)
injury:
description: Bodily injury (e.g., I broke my arm, I have a sprained wrist)
ip_address:
- description: Internet IP address, including IPv4 and IPv6 formats (e.g., 192.168.0.1)
+ description: >-
+ Internet IP address, including IPv4 and IPv6 formats (e.g.,
+ 192.168.0.1)
language:
description: Name of a natural language (e.g., Spanish, French)
location:
- description:
- Any Location reference including mailing address, postal code,
- city, state, province, country, or coordinates. (e.g., Lake Victoria, 145
+ description: >-
+ Any Location reference including mailing address, postal code, city,
+ state, province, country, or coordinates. (e.g., Lake Victoria, 145
Windsor St., 90210)
location_address:
- description: A complete mailing address (e.g., 145 Windsor St., Toronto, ON M5A 2P5)
+ description: >-
+ A complete mailing address (e.g., 145 Windsor St., Toronto, ON M5A
+ 2P5)
location_address_street:
description: Street-level component of an address (e.g., 145 Windsor St.)
location_city:
@@ -1875,41 +2147,43 @@ components:
location_zip:
description: Postal or ZIP code (e.g., M5A 2P5, 90210)
marital_status:
- description:
+ description: >-
Terms indicating marital status (e.g., Single, common-law, ex-wife,
married)
medical_condition:
- description:
+ description: >-
Name of a medical condition, disease, syndrome, deficit, or disorder
(e.g., chronic fatigue syndrome, arrhythmia, depression)
medical_process:
- description:
+ description: >-
Medical process, including treatments, procedures, and tests (e.g.,
heart surgery, CT scan)
money_amount:
description: Name and/or amount of currency (e.g., 15 pesos, $94.50)
nationality:
- description:
+ description: >-
Terms indicating nationality, ethnicity, or race (e.g., American,
Asian, Caucasian)
number_sequence:
- description:
+ description: >-
Numerical PII (including alphanumeric strings) that doesn't fall
under other categories
occupation:
description: Job title or profession (e.g., professor, actors, engineer, CPA)
organization:
- description:
+ description: >-
Name of an organization (e.g., CNN, McDonalds, University of Alaska,
Northwest General Hospital)
organization_medical_facility:
- description:
+ description: >-
Name of a medical facility (e.g., Mayo Clinic, Northwest General
Hospital)
passport_number:
- description: Passport numbers, issued by any country (e.g., PA4568332, NU3C6L86S12)
+ description: >-
+ Passport numbers, issued by any country (e.g., PA4568332,
+ NU3C6L86S12)
password:
- description:
+ description: >-
Account passwords, PINs, access keys, or verification answers (e.g.,
27%alfalfa, temp1234, My mother's maiden name is Smith)
person_age:
@@ -1919,16 +2193,19 @@ components:
phone_number:
description: Telephone or fax number
physical_attribute:
- description: Distinctive bodily attributes, including race
- (e.g., I'm 190cm tall, He belongs to the Black students' association)
+ description: >-
+ Distinctive bodily attributes, including race (e.g., I'm 190cm tall,
+ He belongs to the Black students' association)
political_affiliation:
- description:
+ description: >-
Terms referring to a political party, movement, or ideology (e.g.,
Republican, Liberal)
religion:
description: Terms indicating religious affiliation (e.g., Hindu, Catholic)
sexuality:
- description: Terms indicating sexual orientation (e.g., heterosexual, bisexual, gay)
+ description: >-
+ Terms indicating sexual orientation (e.g., heterosexual, bisexual,
+ gay)
statistics:
description: Medical statistics (e.g., 18%, 18 percent)
time:
@@ -1940,9 +2217,9 @@ components:
username:
description: Usernames, login names, or handles (e.g., @AssemblyAI)
vehicle_id:
- description:
- Vehicle identification numbers (VINs), vehicle serial numbers,
- and license plate numbers (e.g., 5FNRL38918B111818, BIF7547)
+ description: >-
+ Vehicle identification numbers (VINs), vehicle serial numbers, and
+ license plate numbers (e.g., 5FNRL38918B111818, BIF7547)
zodiac_sign:
description: Names of Zodiac signs (e.g., Aries, Taurus)
x-aai-enum:
@@ -2054,18 +2331,21 @@ components:
label: Vehicle ID
zodiac_sign:
label: Zodiac sign
-
SpeechModel:
x-label: Speech model
type: string
- description: The speech model to use for the transcription. See [Model Selection](https://www.assemblyai.com/docs/pre-recorded-audio/select-the-speech-model) for available models.
+ description: >-
+ The speech model to use for the transcription. See [Model
+ Selection](https://www.assemblyai.com/docs/pre-recorded-audio/select-the-speech-model)
+ for available models.
x-fern-sdk-group-name: transcripts
-
TranscriptLanguageCode:
x-label: Language code
type: string
- description: |
- The language of your audio file. Possible values are found in [Supported Languages](https://www.assemblyai.com/docs/pre-recorded-audio/supported-languages).
+ description: >
+ The language of your audio file. Possible values are found in [Supported
+ Languages](https://www.assemblyai.com/docs/pre-recorded-audio/supported-languages).
+
The default value is 'en_us'.
x-fern-sdk-group-name: transcripts
enum:
@@ -2135,7 +2415,7 @@ components:
- mr
- mn
- ne
- - no
+ - 'no'
- nn
- oc
- pa
@@ -2304,7 +2584,7 @@ components:
label: Mongolian
ne:
label: Nepali
- no:
+ 'no':
label: Norwegian
nn:
label: Norwegian Nynorsk
@@ -2376,11 +2656,12 @@ components:
label: Yiddish
yo:
label: Yoruba
-
TranscriptStatus:
x-label: Status
type: string
- description: The status of your transcript. Possible values are queued, processing, completed, or error.
+ description: >-
+ The status of your transcript. Possible values are queued, processing,
+ completed, or error.
x-fern-sdk-group-name: transcripts
enum:
- queued
@@ -2405,7 +2686,6 @@ components:
label: Completed
error:
label: Error
-
TranscriptReadyStatus:
x-label: Status
type: string
@@ -2424,7 +2704,6 @@ components:
label: Completed
error:
label: Error
-
Transcript:
x-label: Transcript
description: A transcript object
@@ -2434,571 +2713,866 @@ components:
properties:
audio_channels:
x-label: Audio channels
- description: The number of audio channels in the audio file. This is only present when [multichannel](https://www.assemblyai.com/docs/pre-recorded-audio/transcribe-multiple-audio-channels) is enabled.
+ description: >-
+ The number of audio channels in the audio file. This is only present
+ when
+ [multichannel](https://www.assemblyai.com/docs/pre-recorded-audio/transcribe-multiple-audio-channels)
+ is enabled.
type: integer
-
audio_duration:
x-label: Audio duration
description: The duration of this transcript object's media file, in seconds
- type: [integer, "null"]
-
+ type:
+ - integer
+ - 'null'
audio_end_at:
x-label: Audio end at
- description: The point in time, in milliseconds, in the file at which the transcription was terminated. See [Set the start and end of the transcript](https://www.assemblyai.com/docs/pre-recorded-audio/set-the-start-and-end-of-the-transcript) for more details.
- type: [integer, "null"]
-
+ description: >-
+ The point in time, in milliseconds, in the file at which the
+ transcription was terminated. See [Set the start and end of the
+ transcript](https://www.assemblyai.com/docs/pre-recorded-audio/set-the-start-and-end-of-the-transcript)
+ for more details.
+ type:
+ - integer
+ - 'null'
audio_start_from:
x-label: Audio start from
- description: The point in time, in milliseconds, in the file at which the transcription was started. See [Set the start and end of the transcript](https://www.assemblyai.com/docs/pre-recorded-audio/set-the-start-and-end-of-the-transcript) for more details.
- type: [integer, "null"]
-
+ description: >-
+ The point in time, in milliseconds, in the file at which the
+ transcription was started. See [Set the start and end of the
+ transcript](https://www.assemblyai.com/docs/pre-recorded-audio/set-the-start-and-end-of-the-transcript)
+ for more details.
+ type:
+ - integer
+ - 'null'
audio_url:
x-label: Audio URL
description: The URL of the media that was transcribed
type: string
format: url
-
auto_chapters:
x-label: Auto Chapters enabled
- description: |
- Whether [Auto Chapters](https://www.assemblyai.com/docs/speech-understanding/auto-chapters) is enabled, can be true or false. Deprecated - use [LLM Gateway](https://www.assemblyai.com/docs/llm-gateway/quickstart) instead for more flexible chapter summaries. See the [updated Auto Chapters page](https://www.assemblyai.com/docs/speech-understanding/auto-chapters) for details.
+ description: >
+ Whether [Auto
+ Chapters](https://www.assemblyai.com/docs/speech-understanding/auto-chapters)
+ is enabled, can be true or false. Deprecated - use [LLM
+ Gateway](https://www.assemblyai.com/docs/llm-gateway/quickstart)
+ instead for more flexible chapter summaries. See the [updated Auto
+ Chapters
+ page](https://www.assemblyai.com/docs/speech-understanding/auto-chapters)
+ for details.
+
Note: This parameter is only supported for the Universal-2 model.
- type: [boolean, "null"]
+ type:
+ - boolean
+ - 'null'
deprecated: true
-
auto_highlights:
x-label: Key Phrases
- description: Whether [Key Phrases](https://www.assemblyai.com/docs/speech-understanding/key-phrases) is enabled, either true or false
+ description: >-
+ Whether [Key
+ Phrases](https://www.assemblyai.com/docs/speech-understanding/key-phrases)
+ is enabled, either true or false
type: boolean
-
auto_highlights_result:
x-label: Key Phrases result
- description: |
+ description: >
An array of results for the Key Phrases model, if it is enabled.
- See [Key Phrases](https://www.assemblyai.com/docs/speech-understanding/key-phrases) for more information.
- oneOf:
- - $ref: "#/components/schemas/AutoHighlightsResult"
- - type: "null"
+ See [Key
+ Phrases](https://www.assemblyai.com/docs/speech-understanding/key-phrases)
+ for more information.
+ oneOf:
+ - $ref: '#/components/schemas/AutoHighlightsResult'
+ - type: 'null'
chapters:
x-label: Chapters
- description: An array of temporally sequential chapters for the audio file. See [Auto Chapters](https://www.assemblyai.com/docs/speech-understanding/auto-chapters) for more information.
- type: [array, "null"]
+ description: >-
+ An array of temporally sequential chapters for the audio file. See
+ [Auto
+ Chapters](https://www.assemblyai.com/docs/speech-understanding/auto-chapters)
+ for more information.
+ type:
+ - array
+ - 'null'
items:
x-label: Chapter
- $ref: "#/components/schemas/Chapter"
-
+ $ref: '#/components/schemas/Chapter'
confidence:
x-label: Confidence
- description: The confidence score for the transcript, between 0.0 (low confidence) and 1.0 (high confidence)
- type: [number, "null"]
+ description: >-
+ The confidence score for the transcript, between 0.0 (low
+ confidence) and 1.0 (high confidence)
+ type:
+ - number
+ - 'null'
format: double
minimum: 0
maximum: 1
-
content_safety:
x-label: Content Moderation
- description: Whether [Content Moderation](https://www.assemblyai.com/docs/content-moderation) is enabled, can be true or false
- type: [boolean, "null"]
-
+ description: >-
+ Whether [Content
+ Moderation](https://www.assemblyai.com/docs/content-moderation) is
+ enabled, can be true or false
+ type:
+ - boolean
+ - 'null'
content_safety_labels:
x-label: Content Moderation labels
- description: |
- An array of results for the Content Moderation model, if it is enabled.
- See [Content moderation](https://www.assemblyai.com/docs/content-moderation) for more information.
- oneOf:
- - $ref: "#/components/schemas/ContentSafetyLabelsResult"
- - type: "null"
+ description: >
+ An array of results for the Content Moderation model, if it is
+ enabled.
+ See [Content
+ moderation](https://www.assemblyai.com/docs/content-moderation) for
+ more information.
+ oneOf:
+ - $ref: '#/components/schemas/ContentSafetyLabelsResult'
+ - type: 'null'
custom_spelling:
x-label: Custom spellings
- description: Customize how words are spelled and formatted using to and from values. See [Custom Spelling](https://www.assemblyai.com/docs/pre-recorded-audio/correct-spelling-of-terms) for more details.
- type: [array, "null"]
+ description: >-
+ Customize how words are spelled and formatted using to and from
+ values. See [Custom
+ Spelling](https://www.assemblyai.com/docs/pre-recorded-audio/correct-spelling-of-terms)
+ for more details.
+ type:
+ - array
+ - 'null'
items:
x-label: Custom spelling
- $ref: "#/components/schemas/TranscriptCustomSpelling"
-
+ $ref: '#/components/schemas/TranscriptCustomSpelling'
disfluencies:
x-label: Disfluencies
- description: Transcribe [Filler Words](https://www.assemblyai.com/docs/pre-recorded-audio/include-filler-words), like "umm", in your media file; can be true or false. Supported on Universal-3 Pro and Universal-2.
- type: [boolean, "null"]
-
+ description: >-
+ Transcribe [Filler
+ Words](https://www.assemblyai.com/docs/pre-recorded-audio/include-filler-words),
+ like "umm", in your media file; can be true or false. Supported on
+ Universal-3 Pro and Universal-2.
+ type:
+ - boolean
+ - 'null'
domain:
x-label: Domain
- description: |
- The domain-specific model applied to the transcript. When set to `"medical-v1"`, [Medical Mode](https://www.assemblyai.com/docs/pre-recorded-audio/medical-mode) was used to improve accuracy for medical terminology.
- type: [string, "null"]
-
+ description: >
+ The domain-specific model applied to the transcript. When set to
+ `"medical-v1"`, [Medical
+ Mode](https://www.assemblyai.com/docs/pre-recorded-audio/medical-mode)
+ was used to improve accuracy for medical terminology.
+ type:
+ - string
+ - 'null'
entities:
x-label: Entities
- description: |
- An array of results for the Entity Detection model, if it is enabled.
- See [Entity detection](https://www.assemblyai.com/docs/speech-understanding/entity-detection) for more information.
- type: [array, "null"]
+ description: >
+ An array of results for the Entity Detection model, if it is
+ enabled.
+
+ See [Entity
+ detection](https://www.assemblyai.com/docs/speech-understanding/entity-detection)
+ for more information.
+ type:
+ - array
+ - 'null'
items:
x-label: Entity
- $ref: "#/components/schemas/Entity"
-
+ $ref: '#/components/schemas/Entity'
entity_detection:
x-label: Entity Detection
- description: Whether [Entity Detection](https://www.assemblyai.com/docs/speech-understanding/entity-detection) is enabled, can be true or false
- type: [boolean, "null"]
-
+ description: >-
+ Whether [Entity
+ Detection](https://www.assemblyai.com/docs/speech-understanding/entity-detection)
+ is enabled, can be true or false
+ type:
+ - boolean
+ - 'null'
error:
x-label: Error
description: Error message of why the transcript failed
type: string
-
filter_profanity:
x-label: Filter profanity
- description: Whether [Profanity Filtering](https://www.assemblyai.com/docs/profanity-filtering) is enabled, either true or false
- type: [boolean, "null"]
-
+ description: >-
+ Whether [Profanity
+ Filtering](https://www.assemblyai.com/docs/profanity-filtering) is
+ enabled, either true or false
+ type:
+ - boolean
+ - 'null'
format_text:
x-label: Format text
- description: Whether [Text Formatting](https://www.assemblyai.com/docs/pre-recorded-audio) is enabled, either true or false
- type: [boolean, "null"]
-
+ description: >-
+ Whether [Text
+ Formatting](https://www.assemblyai.com/docs/pre-recorded-audio) is
+ enabled, either true or false
+ type:
+ - boolean
+ - 'null'
iab_categories:
x-label: Topic Detection
- description: Whether [Topic Detection](https://www.assemblyai.com/docs/speech-understanding/topic-detection) is enabled, can be true or false
- type: [boolean, "null"]
-
+ description: >-
+ Whether [Topic
+ Detection](https://www.assemblyai.com/docs/speech-understanding/topic-detection)
+ is enabled, can be true or false
+ type:
+ - boolean
+ - 'null'
iab_categories_result:
x-label: Topic Detection result
- description: |
+ description: >
The result of the Topic Detection model, if it is enabled.
- See [Topic Detection](https://www.assemblyai.com/docs/speech-understanding/topic-detection) for more information.
- oneOf:
- - $ref: "#/components/schemas/TopicDetectionModelResult"
- - type: "null"
+ See [Topic
+ Detection](https://www.assemblyai.com/docs/speech-understanding/topic-detection)
+ for more information.
+ oneOf:
+ - $ref: '#/components/schemas/TopicDetectionModelResult'
+ - type: 'null'
id:
x-label: ID
description: The unique identifier of your transcript
type: string
format: uuid
-
keyterms_prompt:
x-label: Keyterms prompt
- description: |
- Improve accuracy with up to 200 (for Universal-2) or 1000 (for Universal-3 Pro) domain-specific words or phrases (maximum 6 words per phrase). See [Keyterms Prompting](https://www.assemblyai.com/docs/pre-recorded-audio/universal-3-pro/prompting#keyterms-prompting) for more details.
+ description: >
+ Improve accuracy with up to 200 (for Universal-2) or 1000 (for
+ Universal-3 Pro) domain-specific words or phrases (maximum 6 words
+ per phrase). See [Keyterms
+ Prompting](https://www.assemblyai.com/docs/pre-recorded-audio/universal-3-pro/prompting#keyterms-prompting)
+ for more details.
type: array
items:
x-label: Keyterm
type: string
-
language_code:
x-label: Language code
- description: |
+ description: >
The language of your audio file.
- Possible values are found in [Supported Languages](https://www.assemblyai.com/docs/pre-recorded-audio/supported-languages).
+
+ Possible values are found in [Supported
+ Languages](https://www.assemblyai.com/docs/pre-recorded-audio/supported-languages).
+
The default value is 'en_us'.
anyOf:
- - $ref: "#/components/schemas/TranscriptLanguageCode"
+ - $ref: '#/components/schemas/TranscriptLanguageCode'
- type: string
x-ts-type: LiteralUnion
x-go-type: TranscriptLanguageCode
-
language_codes:
- description: |
- The language codes of your audio file. Used for [Code switching](/speech-to-text/pre-recorded-audio/code-switching)
+ description: >
+ The language codes of your audio file. Used for [Code
+ switching](/speech-to-text/pre-recorded-audio/code-switching)
+
One of the values specified must be `en`.
- type: [array, "null"]
+ type:
+ - array
+ - 'null'
items:
x-label: Language code
- $ref: "#/components/schemas/TranscriptLanguageCode"
-
+ $ref: '#/components/schemas/TranscriptLanguageCode'
language_confidence:
x-label: Language confidence
- description: The confidence score for the detected language, between 0.0 (low confidence) and 1.0 (high confidence). See [Automatic Language Detection](https://www.assemblyai.com/docs/pre-recorded-audio/language-detection) for more details.
- type: [number, "null"]
+ description: >-
+ The confidence score for the detected language, between 0.0 (low
+ confidence) and 1.0 (high confidence). See [Automatic Language
+ Detection](https://www.assemblyai.com/docs/pre-recorded-audio/language-detection)
+ for more details.
+ type:
+ - number
+ - 'null'
format: double
minimum: 0
maximum: 1
-
language_confidence_threshold:
x-label: Language confidence threshold
- description: |
+ description: >
The confidence threshold for the automatically detected language.
- An error will be returned if the language confidence is below this threshold.
- See [Automatic Language Detection](https://www.assemblyai.com/docs/pre-recorded-audio/language-detection) for more details.
- type: [number, "null"]
+
+ An error will be returned if the language confidence is below this
+ threshold.
+
+ See [Automatic Language
+ Detection](https://www.assemblyai.com/docs/pre-recorded-audio/language-detection)
+ for more details.
+ type:
+ - number
+ - 'null'
format: float
minimum: 0
maximum: 1
-
language_detection:
x-label: Language detection
- description: Whether [Automatic language detection](/pre-recorded-audio/automatic-language-detection) is enabled, either true or false
- type: [boolean, "null"]
-
+ description: >-
+ Whether [Automatic language
+ detection](/pre-recorded-audio/automatic-language-detection) is
+ enabled, either true or false
+ type:
+ - boolean
+ - 'null'
language_detection_options:
x-label: Specify options for Automatic Language Detection.
- description: Specify options for [Automatic Language Detection](https://www.assemblyai.com/docs/pre-recorded-audio/language-detection).
+ description: >-
+ Specify options for [Automatic Language
+ Detection](https://www.assemblyai.com/docs/pre-recorded-audio/language-detection).
type: object
additionalProperties: false
properties:
expected_languages:
x-label: Expected languages
- description: List of languages expected in the audio file. Defaults to `["all"]` when unspecified. See [Automatic Language Detection](https://www.assemblyai.com/docs/pre-recorded-audio/language-detection) for more details.
+ description: >-
+ List of languages expected in the audio file. Defaults to
+ `["all"]` when unspecified. See [Automatic Language
+ Detection](https://www.assemblyai.com/docs/pre-recorded-audio/language-detection)
+ for more details.
type: array
items:
x-label: language
type: string
fallback_language:
x-label: Fallback language
- description: |
- If the detected language of the audio file is not in the list of expected languages, the `fallback_language` is used. Specify `["auto"]` to let our model choose the fallback language from `expected_languages` with the highest confidence score. See [Automatic Language Detection](https://www.assemblyai.com/docs/pre-recorded-audio/language-detection) for more details.
+ description: >
+ If the detected language of the audio file is not in the list of
+ expected languages, the `fallback_language` is used. Specify
+ `["auto"]` to let our model choose the fallback language from
+ `expected_languages` with the highest confidence score. See
+ [Automatic Language
+ Detection](https://www.assemblyai.com/docs/pre-recorded-audio/language-detection)
+ for more details.
type: string
- default: "auto"
+ default: auto
code_switching:
x-label: Code switching
- description: |
- Whether [code switching](/speech-to-text/pre-recorded-audio/code-switching) should be detected.
+ description: >
+ Whether [code
+ switching](/speech-to-text/pre-recorded-audio/code-switching)
+ should be detected.
type: boolean
default: false
code_switching_confidence_threshold:
x-label: Code switching confidence threshold
- description: |
- The confidence threshold for [code switching](/speech-to-text/pre-recorded-audio/code-switching) detection. If the code switching confidence is below this threshold, the transcript will be processed in the language with the highest `language_detection_confidence` score.
+ description: >
+ The confidence threshold for [code
+ switching](/speech-to-text/pre-recorded-audio/code-switching)
+ detection. If the code switching confidence is below this
+ threshold, the transcript will be processed in the language with
+ the highest `language_detection_confidence` score.
type: number
minimum: 0
maximum: 1
default: 0.3
-
multichannel:
x-label: Multichannel
- description: Whether [Multichannel transcription](https://www.assemblyai.com/docs/pre-recorded-audio/transcribe-multiple-audio-channels) was enabled in the transcription request, either true or false
- type: [boolean, "null"]
-
+ description: >-
+ Whether [Multichannel
+ transcription](https://www.assemblyai.com/docs/pre-recorded-audio/transcribe-multiple-audio-channels)
+ was enabled in the transcription request, either true or false
+ type:
+ - boolean
+ - 'null'
prompt:
x-label: Prompt
- description: |
- Provide natural language prompting of up to 1,500 words of contextual information to the model. See the [Prompting Guide](https://www.assemblyai.com/docs/pre-recorded-audio/prompting) for best practices.
+ description: >
+ Provide natural language prompting of up to 1,500 words of
+ contextual information to the model. See the [Prompting
+ Guide](https://www.assemblyai.com/docs/pre-recorded-audio/prompting)
+ for best practices.
- Note: This parameter is only supported for the Universal-3 Pro model.
- type: string
+ Note: This parameter is only supported for the Universal-3 Pro
+ model.
+ type: string
punctuate:
x-label: Punctuate
- description: Whether [Automatic Punctuation](https://www.assemblyai.com/docs/pre-recorded-audio) is enabled, either true or false
- type: [boolean, "null"]
-
+ description: >-
+ Whether [Automatic
+ Punctuation](https://www.assemblyai.com/docs/pre-recorded-audio) is
+ enabled, either true or false
+ type:
+ - boolean
+ - 'null'
redact_pii:
x-label: Redact PII
- description: Whether [PII Redaction](https://www.assemblyai.com/docs/pii-redaction) is enabled, either true or false
+ description: >-
+ Whether [PII
+ Redaction](https://www.assemblyai.com/docs/pii-redaction) is
+ enabled, either true or false
type: boolean
-
redact_pii_audio:
x-label: Redact PII audio
- description: |
+ description: >
Whether a redacted version of the audio file was generated,
- either true or false. See [PII redaction](https://www.assemblyai.com/docs/pii-redaction#request-for-redacted-audio) for more information.
- type: [boolean, "null"]
+ either true or false. See [PII
+ redaction](https://www.assemblyai.com/docs/pii-redaction#request-for-redacted-audio)
+ for more information.
+ type:
+ - boolean
+ - 'null'
redact_pii_audio_options:
x-label: Redact PII audio options
- description: |
+ description: >
The options for PII-redacted audio, if redact_pii_audio is enabled.
- See [PII redaction](https://www.assemblyai.com/docs/pii-redaction#request-for-redacted-audio) for more information.
+
+ See [PII
+ redaction](https://www.assemblyai.com/docs/pii-redaction#request-for-redacted-audio)
+ for more information.
type: object
additionalProperties: false
properties:
return_redacted_no_speech_audio:
x-label: Return redacted no speech audio
- description: By default, audio redaction provides redacted audio URLs only when speech is detected. However, if your use-case specifically requires redacted audio files even for silent audio files without any dialogue, you can opt to receive these URLs by setting this parameter to `true`.
+ description: >-
+ By default, audio redaction provides redacted audio URLs only
+ when speech is detected. However, if your use-case specifically
+ requires redacted audio files even for silent audio files
+ without any dialogue, you can opt to receive these URLs by
+ setting this parameter to `true`.
type: boolean
default: false
override_audio_redaction_method:
x-label: Override audio redaction method
- description: Specify the method used to redact audio. By default, redacted audio uses a beep sound. Set to `silence` to replace PII with silence instead of a beep.
+ description: >-
+ Specify the method used to redact audio. By default, redacted
+ audio uses a beep sound. Set to `silence` to replace PII with
+ silence instead of a beep.
type: string
enum:
- silence
-
redact_pii_audio_quality:
x-label: Redact PII audio quality
- description: |
- The audio quality of the PII-redacted audio file, if redact_pii_audio is enabled.
- See [PII redaction](https://www.assemblyai.com/docs/pii-redaction#request-for-redacted-audio) for more information.
- oneOf:
- - $ref: "#/components/schemas/RedactPiiAudioQuality"
- - type: "null"
+ description: >
+ The audio quality of the PII-redacted audio file, if
+ redact_pii_audio is enabled.
+ See [PII
+ redaction](https://www.assemblyai.com/docs/pii-redaction#request-for-redacted-audio)
+ for more information.
+ oneOf:
+ - $ref: '#/components/schemas/RedactPiiAudioQuality'
+ - type: 'null'
redact_pii_policies:
x-label: Redact PII policies
- description: |
- The list of PII Redaction policies that were enabled, if PII Redaction is enabled.
- See [PII redaction](https://www.assemblyai.com/docs/pii-redaction) for more information.
- type: [array, "null"]
+ description: >
+ The list of PII Redaction policies that were enabled, if PII
+ Redaction is enabled.
+
+ See [PII redaction](https://www.assemblyai.com/docs/pii-redaction)
+ for more information.
+ type:
+ - array
+ - 'null'
items:
x-label: PII policy
- $ref: "#/components/schemas/PiiPolicy"
-
+ $ref: '#/components/schemas/PiiPolicy'
redact_pii_sub:
x-label: Redact PII substitution
- description: The replacement logic for detected PII, can be `entity_type` or `hash`. See [PII redaction](https://www.assemblyai.com/docs/pii-redaction) for more details.
- $ref: "#/components/schemas/SubstitutionPolicy"
-
+ description: >-
+ The replacement logic for detected PII, can be `entity_type` or
+ `hash`. See [PII
+ redaction](https://www.assemblyai.com/docs/pii-redaction) for more
+ details.
+ $ref: '#/components/schemas/SubstitutionPolicy'
redact_pii_return_unredacted:
x-label: Return unredacted transcript
- description: |
- Whether the original unredacted transcript was also returned alongside the redacted one. When `true`, the response includes `unredacted_text`, `unredacted_words`, and `unredacted_utterances`. See [PII redaction](https://www.assemblyai.com/docs/pii-redaction) for more information.
- type: [boolean, "null"]
-
+ description: >
+ Whether the original unredacted transcript was also returned
+ alongside the redacted one. When `true`, the response includes
+ `unredacted_text`, `unredacted_words`, and `unredacted_utterances`.
+ See [PII redaction](https://www.assemblyai.com/docs/pii-redaction)
+ for more information.
+ type:
+ - boolean
+ - 'null'
sentiment_analysis:
x-label: Sentiment Analysis
- description: Whether [Sentiment Analysis](https://www.assemblyai.com/docs/speech-understanding/sentiment-analysis) is enabled, can be true or false
- type: [boolean, "null"]
-
+ description: >-
+ Whether [Sentiment
+ Analysis](https://www.assemblyai.com/docs/speech-understanding/sentiment-analysis)
+ is enabled, can be true or false
+ type:
+ - boolean
+ - 'null'
sentiment_analysis_results:
x-label: Sentiment Analysis results
- description: |
- An array of results for the Sentiment Analysis model, if it is enabled.
- See [Sentiment Analysis](https://www.assemblyai.com/docs/speech-understanding/sentiment-analysis) for more information.
- type: [array, "null"]
+ description: >
+ An array of results for the Sentiment Analysis model, if it is
+ enabled.
+
+ See [Sentiment
+ Analysis](https://www.assemblyai.com/docs/speech-understanding/sentiment-analysis)
+ for more information.
+ type:
+ - array
+ - 'null'
items:
x-label: Sentiment Analysis result
- $ref: "#/components/schemas/SentimentAnalysisResult"
-
+ $ref: '#/components/schemas/SentimentAnalysisResult'
speaker_labels:
x-label: Speaker labels
- description: Whether [Speaker diarization](https://www.assemblyai.com/docs/pre-recorded-audio/label-speakers) is enabled, can be true or false
- type: [boolean, "null"]
-
+ description: >-
+ Whether [Speaker
+ diarization](https://www.assemblyai.com/docs/pre-recorded-audio/label-speakers)
+ is enabled, can be true or false
+ type:
+ - boolean
+ - 'null'
speakers_expected:
x-label: Speakers expected
- description: Tell the speaker label model how many speakers it should attempt to identify. See [Set number of speakers expected](https://www.assemblyai.com/docs/pre-recorded-audio/label-speakers#set-number-of-speakers-expected) for more details.
- type: [integer, "null"]
-
+ description: >-
+ Tell the speaker label model how many speakers it should attempt to
+ identify. See [Set number of speakers
+ expected](https://www.assemblyai.com/docs/pre-recorded-audio/label-speakers#set-number-of-speakers-expected)
+ for more details.
+ type:
+ - integer
+ - 'null'
speech_model_used:
x-label: Speech model used
- description: The speech model that was actually used for the transcription. See [Model Selection](https://www.assemblyai.com/docs/pre-recorded-audio/select-the-speech-model) for available models.
+ description: >-
+ The speech model that was actually used for the transcription. See
+ [Model
+ Selection](https://www.assemblyai.com/docs/pre-recorded-audio/select-the-speech-model)
+ for available models.
type: string
- $ref: "#/components/schemas/SpeechModel"
-
+ $ref: '#/components/schemas/SpeechModel'
speech_models:
x-label: Speech models
- description: |
- List of speech models that were used (in priority order) to transcribe the audio. If not specified in the request, this defaults to `["universal-3-pro", "universal-2"]`. See [Model Selection](https://www.assemblyai.com/docs/pre-recorded-audio/select-the-speech-model) for available models and routing behavior.
- type: [array, "null"]
+ description: >
+ List of speech models that were used (in priority order) to
+ transcribe the audio. If not specified in the request, this defaults
+ to `["universal-3-pro", "universal-2"]`. See [Model
+ Selection](https://www.assemblyai.com/docs/pre-recorded-audio/select-the-speech-model)
+ for available models and routing behavior.
+ type:
+ - array
+ - 'null'
items:
x-label: Speech model
- $ref: "#/components/schemas/SpeechModel"
-
+ $ref: '#/components/schemas/SpeechModel'
speech_threshold:
x-label: Speech threshold
- description: |
- Defaults to null. Reject audio files that contain less than this fraction of speech.
- Valid values are in the range [0, 1] inclusive. See [Speech Threshold](https://www.assemblyai.com/docs/speech-threshold) for more details.
- type: [number, "null"]
+ description: >
+ Defaults to null. Reject audio files that contain less than this
+ fraction of speech.
+
+ Valid values are in the range [0, 1] inclusive. See [Speech
+ Threshold](https://www.assemblyai.com/docs/speech-threshold) for
+ more details.
+ type:
+ - number
+ - 'null'
minimum: 0
maximum: 1
format: float
-
speech_understanding:
x-label: Speech Understanding
- description: |
- Speech understanding tasks like [Translation](https://www.assemblyai.com/docs/speech-understanding/translation), [Speaker Identification](https://www.assemblyai.com/docs/speech-understanding/speaker-identification), and [Custom Formatting](https://www.assemblyai.com/docs/speech-understanding/custom-formatting). See the task-specific docs for available options and configuration.
+ description: >
+ Speech understanding tasks like
+ [Translation](https://www.assemblyai.com/docs/speech-understanding/translation),
+ [Speaker
+ Identification](https://www.assemblyai.com/docs/speech-understanding/speaker-identification),
+ and [Custom
+ Formatting](https://www.assemblyai.com/docs/speech-understanding/custom-formatting).
+ See the task-specific docs for available options and configuration.
type: object
properties:
request:
oneOf:
- - $ref: "#/components/schemas/TranslationRequestBody"
- - $ref: "#/components/schemas/SpeakerIdentificationRequestBody"
- - $ref: "#/components/schemas/CustomFormattingRequestBody"
+ - $ref: '#/components/schemas/TranslationRequestBody'
+ - $ref: '#/components/schemas/SpeakerIdentificationRequestBody'
+ - $ref: '#/components/schemas/CustomFormattingRequestBody'
response:
oneOf:
- - $ref: "#/components/schemas/TranslationResponse"
- - $ref: "#/components/schemas/SpeakerIdentificationResponse"
- - $ref: "#/components/schemas/CustomFormattingResponse"
-
+ - $ref: '#/components/schemas/TranslationResponse'
+ - $ref: '#/components/schemas/SpeakerIdentificationResponse'
+ - $ref: '#/components/schemas/CustomFormattingResponse'
status:
x-label: Status
- description: The status of your transcript. Possible values are queued, processing, completed, or error.
- $ref: "#/components/schemas/TranscriptStatus"
-
+ description: >-
+ The status of your transcript. Possible values are queued,
+ processing, completed, or error.
+ $ref: '#/components/schemas/TranscriptStatus'
summarization:
x-label: Summarization enabled
- description: |
- Whether [Summarization](https://www.assemblyai.com/docs/speech-understanding/summarization) is enabled, either true or false. Deprecated - use [LLM Gateway](https://www.assemblyai.com/docs/llm-gateway/quickstart) instead for more flexible summaries. See the [updated Summarization page](https://www.assemblyai.com/docs/speech-understanding/summarization) for details.
+ description: >
+ Whether
+ [Summarization](https://www.assemblyai.com/docs/speech-understanding/summarization)
+ is enabled, either true or false. Deprecated - use [LLM
+ Gateway](https://www.assemblyai.com/docs/llm-gateway/quickstart)
+ instead for more flexible summaries. See the [updated Summarization
+ page](https://www.assemblyai.com/docs/speech-understanding/summarization)
+ for details.
+
Note: This parameter is only supported for the Universal-2 model.
type: boolean
deprecated: true
-
summary:
x-label: Summary
- description: The generated summary of the media file, if [Summarization](https://www.assemblyai.com/docs/speech-understanding/summarization) is enabled. Deprecated - use [LLM Gateway](https://www.assemblyai.com/docs/llm-gateway/quickstart) instead for more flexible summaries. See the [updated Summarization page](https://www.assemblyai.com/docs/speech-understanding/summarization) for details.
- type: [string, "null"]
+ description: >-
+ The generated summary of the media file, if
+ [Summarization](https://www.assemblyai.com/docs/speech-understanding/summarization)
+ is enabled. Deprecated - use [LLM
+ Gateway](https://www.assemblyai.com/docs/llm-gateway/quickstart)
+ instead for more flexible summaries. See the [updated Summarization
+ page](https://www.assemblyai.com/docs/speech-understanding/summarization)
+ for details.
+ type:
+ - string
+ - 'null'
deprecated: true
-
summary_model:
x-label: Summary model
- description: |
+ description: >
The Summarization model used to generate the summary,
- if [Summarization](https://www.assemblyai.com/docs/speech-understanding/summarization) is enabled. Deprecated - use [LLM Gateway](https://www.assemblyai.com/docs/llm-gateway/quickstart) instead for more flexible summaries. See the [updated Summarization page](https://www.assemblyai.com/docs/speech-understanding/summarization) for details.
- type: [string, "null"]
- deprecated: true
+ if
+ [Summarization](https://www.assemblyai.com/docs/speech-understanding/summarization)
+ is enabled. Deprecated - use [LLM
+ Gateway](https://www.assemblyai.com/docs/llm-gateway/quickstart)
+ instead for more flexible summaries. See the [updated Summarization
+ page](https://www.assemblyai.com/docs/speech-understanding/summarization)
+ for details.
+ type:
+ - string
+ - 'null'
+ deprecated: true
summary_type:
x-label: Summary type
- description: The type of summary generated, if [Summarization](https://www.assemblyai.com/docs/speech-understanding/summarization) is enabled. Deprecated - use [LLM Gateway](https://www.assemblyai.com/docs/llm-gateway/quickstart) instead for more flexible summaries. See the [updated Summarization page](https://www.assemblyai.com/docs/speech-understanding/summarization) for details.
- type: [string, "null"]
+ description: >-
+ The type of summary generated, if
+ [Summarization](https://www.assemblyai.com/docs/speech-understanding/summarization)
+ is enabled. Deprecated - use [LLM
+ Gateway](https://www.assemblyai.com/docs/llm-gateway/quickstart)
+ instead for more flexible summaries. See the [updated Summarization
+ page](https://www.assemblyai.com/docs/speech-understanding/summarization)
+ for details.
+ type:
+ - string
+ - 'null'
deprecated: true
-
remove_audio_tags:
x-label: Remove audio tags
- description: |
- Universal-3 Pro generates rich transcripts that can include inline annotations such as audio event markers and speaker cues. Set to `"all"` to remove all inline annotations, or `"speaker"` to remove only speaker cues while keeping other annotations.
+ description: >
+ Universal-3 Pro generates rich transcripts that can include inline
+ annotations such as audio event markers and speaker cues. Set to
+ `"all"` to remove all inline annotations, or `"speaker"` to remove
+ only speaker cues while keeping other annotations.
- Note: This parameter is only supported for the Universal-3 Pro model.
+
+ Note: This parameter is only supported for the Universal-3 Pro
+ model.
oneOf:
- type: string
enum:
- all
- speaker
- - type: "null"
-
+ - type: 'null'
temperature:
x-label: Temperature
- description: |
- The temperature that was used for the model's response. See the [Prompting Guide](https://www.assemblyai.com/docs/pre-recorded-audio/prompting) for more details.
-
- Note: This parameter can only be used with the Universal-3 Pro model.
- type: [number, "null"]
- minimum: 0.0
- maximum: 1.0
-
+ description: >
+ The temperature that was used for the model's response. See the
+ [Prompting
+ Guide](https://www.assemblyai.com/docs/pre-recorded-audio/prompting)
+ for more details.
+
+
+ Note: This parameter can only be used with the Universal-3 Pro
+ model.
+ type:
+ - number
+ - 'null'
+ minimum: 0
+ maximum: 1
text:
x-label: Text
description: The textual transcript of your media file
- type: [string, "null"]
-
+ type:
+ - string
+ - 'null'
unredacted_text:
x-label: Unredacted text
- description: |
- The original textual transcript of your media file before PII redaction was applied. Only returned when `redact_pii_return_unredacted` was set to `true` on the transcription request, otherwise this field is omitted and the `text` field remains fully redacted. See [PII redaction](https://www.assemblyai.com/docs/pii-redaction) for more information.
- type: [string, "null"]
-
+ description: >
+ The original textual transcript of your media file before PII
+ redaction was applied. Only returned when
+ `redact_pii_return_unredacted` was set to `true` on the
+ transcription request, otherwise this field is omitted and the
+ `text` field remains fully redacted. See [PII
+ redaction](https://www.assemblyai.com/docs/pii-redaction) for more
+ information.
+ type:
+ - string
+ - 'null'
throttled:
x-label: Throttled
- description: True while a request is throttled and false when a request is no longer throttled
- type: [boolean, "null"]
-
+ description: >-
+ True while a request is throttled and false when a request is no
+ longer throttled
+ type:
+ - boolean
+ - 'null'
utterances:
x-label: Utterances
- description: |
- When multichannel or speaker_labels is enabled, a list of turn-by-turn utterance objects.
- See [Speaker diarization](https://www.assemblyai.com/docs/pre-recorded-audio/label-speakers) and [Multichannel transcription](https://www.assemblyai.com/docs/pre-recorded-audio/transcribe-multiple-audio-channels) for more information.
- type: [array, "null"]
+ description: >
+ When multichannel or speaker_labels is enabled, a list of
+ turn-by-turn utterance objects.
+
+ See [Speaker
+ diarization](https://www.assemblyai.com/docs/pre-recorded-audio/label-speakers)
+ and [Multichannel
+ transcription](https://www.assemblyai.com/docs/pre-recorded-audio/transcribe-multiple-audio-channels)
+ for more information.
+ type:
+ - array
+ - 'null'
items:
x-label: Utterance
- $ref: "#/components/schemas/TranscriptUtterance"
-
+ $ref: '#/components/schemas/TranscriptUtterance'
unredacted_utterances:
x-label: Unredacted utterances
- description: |
- The original turn-by-turn utterance objects before PII redaction was applied. Same shape as `utterances`. Only returned when `redact_pii_return_unredacted` was set to `true` on the transcription request, otherwise this field is omitted and the `utterances` field remains fully redacted. See [PII redaction](https://www.assemblyai.com/docs/pii-redaction) for more information.
- type: [array, "null"]
+ description: >
+ The original turn-by-turn utterance objects before PII redaction was
+ applied. Same shape as `utterances`. Only returned when
+ `redact_pii_return_unredacted` was set to `true` on the
+ transcription request, otherwise this field is omitted and the
+ `utterances` field remains fully redacted. See [PII
+ redaction](https://www.assemblyai.com/docs/pii-redaction) for more
+ information.
+ type:
+ - array
+ - 'null'
items:
x-label: Utterance
- $ref: "#/components/schemas/TranscriptUtterance"
-
+ $ref: '#/components/schemas/TranscriptUtterance'
webhook_auth:
x-label: Webhook auth enabled
- description: Whether [webhook](https://www.assemblyai.com/docs/deployment/webhooks-for-pre-recorded-audio) authentication details were provided
+ description: >-
+ Whether
+ [webhook](https://www.assemblyai.com/docs/deployment/webhooks-for-pre-recorded-audio)
+ authentication details were provided
type: boolean
-
webhook_auth_header_name:
x-label: Webhook auth header name
- description: The header name to be sent with the transcript completed or failed [webhook](https://www.assemblyai.com/docs/deployment/webhooks-for-pre-recorded-audio) requests
- type: [string, "null"]
-
+ description: >-
+ The header name to be sent with the transcript completed or failed
+ [webhook](https://www.assemblyai.com/docs/deployment/webhooks-for-pre-recorded-audio)
+ requests
+ type:
+ - string
+ - 'null'
webhook_status_code:
x-label: Webhook HTTP status code
- description: The status code we received from your server when delivering the transcript completed or failed [webhook](https://www.assemblyai.com/docs/deployment/webhooks-for-pre-recorded-audio) request, if a webhook URL was provided
- type: [integer, "null"]
-
+ description: >-
+ The status code we received from your server when delivering the
+ transcript completed or failed
+ [webhook](https://www.assemblyai.com/docs/deployment/webhooks-for-pre-recorded-audio)
+ request, if a webhook URL was provided
+ type:
+ - integer
+ - 'null'
webhook_url:
x-label: Webhook URL
- description: |
- The URL to which we send [webhook](https://www.assemblyai.com/docs/deployment/webhooks-for-pre-recorded-audio) requests.
- type: [string, "null"]
+ description: >
+ The URL to which we send
+ [webhook](https://www.assemblyai.com/docs/deployment/webhooks-for-pre-recorded-audio)
+ requests.
+ type:
+ - string
+ - 'null'
format: url
-
words:
x-label: Words
- description: |
- An array of temporally-sequential word objects, one for each word in the transcript.
- type: [array, "null"]
+ description: >
+ An array of temporally-sequential word objects, one for each word in
+ the transcript.
+ type:
+ - array
+ - 'null'
items:
x-label: Word
- $ref: "#/components/schemas/TranscriptWord"
-
+ $ref: '#/components/schemas/TranscriptWord'
unredacted_words:
x-label: Unredacted words
- description: |
- The original temporally-sequential word objects before PII redaction was applied. Same shape as `words`. Only returned when `redact_pii_return_unredacted` was set to `true` on the transcription request, otherwise this field is omitted and the `words` field remains fully redacted. See [PII redaction](https://www.assemblyai.com/docs/pii-redaction) for more information.
- type: [array, "null"]
+ description: >
+ The original temporally-sequential word objects before PII redaction
+ was applied. Same shape as `words`. Only returned when
+ `redact_pii_return_unredacted` was set to `true` on the
+ transcription request, otherwise this field is omitted and the
+ `words` field remains fully redacted. See [PII
+ redaction](https://www.assemblyai.com/docs/pii-redaction) for more
+ information.
+ type:
+ - array
+ - 'null'
items:
x-label: Word
- $ref: "#/components/schemas/TranscriptWord"
-
+ $ref: '#/components/schemas/TranscriptWord'
acoustic_model:
x-label: Acoustic model
- description: This parameter does not currently have any functionality attached to it.
+ description: >-
+ This parameter does not currently have any functionality attached to
+ it.
type: string
deprecated: true
-
custom_topics:
x-label: Custom topics enabled
- description: This parameter does not currently have any functionality attached to it.
- type: [boolean, "null"]
+ description: >-
+ This parameter does not currently have any functionality attached to
+ it.
+ type:
+ - boolean
+ - 'null'
deprecated: true
-
language_model:
x-label: Language model
- description: This parameter does not currently have any functionality attached to it.
+ description: >-
+ This parameter does not currently have any functionality attached to
+ it.
type: string
deprecated: true
-
speech_model:
x-label: Speech model
- description: |
- This parameter has been replaced with the `speech_models` parameter, learn more about the `speech_models` parameter [here](https://www.assemblyai.com/docs/pre-recorded-audio/select-the-speech-model).
+ description: >
+ This parameter has been replaced with the `speech_models` parameter,
+ learn more about the `speech_models` parameter
+ [here](https://www.assemblyai.com/docs/pre-recorded-audio/select-the-speech-model).
oneOf:
- - $ref: "#/components/schemas/SpeechModel"
- - type: "null"
- deprecated: True
-
+ - $ref: '#/components/schemas/SpeechModel'
+ - type: 'null'
+ deprecated: true
speed_boost:
x-label: Speed boost
- description: This parameter does not currently have any functionality attached to it.
- type: [boolean, "null"]
+ description: >-
+ This parameter does not currently have any functionality attached to
+ it.
+ type:
+ - boolean
+ - 'null'
deprecated: true
-
topics:
x-label: Topics
- description: This parameter does not currently have any functionality attached to it.
+ description: >-
+ This parameter does not currently have any functionality attached to
+ it.
type: array
items:
x-label: Topic
type: string
deprecated: true
-
translated_texts:
- # x-label: Translated text
type: object
- description: Translated text keyed by language code. See [Translation](https://www.assemblyai.com/docs/speech-understanding/translation) for more details.
+ description: >-
+ Translated text keyed by language code. See
+ [Translation](https://www.assemblyai.com/docs/speech-understanding/translation)
+ for more details.
properties:
language_code:
x-label: Language code
type: string
description: Translated text for this language code
-
required:
- id
- speech_model
@@ -3013,604 +3587,552 @@ components:
- language_confidence_threshold
- language_confidence
example:
- {
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- speech_model: null,
- language_model: "assemblyai_default",
- acoustic_model: "assemblyai_default",
- language_code: "en_us",
- language_detection: true,
- language_confidence_threshold: 0.7,
- language_confidence: 0.9959,
- status: "completed",
- audio_url: "https://assembly.ai/wildfires.mp3",
- text: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what's happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning. What is it about the conditions right now that have caused this round of wildfires to affect so many people so far away? Well, there's a couple of things. The season has been pretty dry already. And then the fact that we're getting hit in the US. Is because there's a couple of weather systems that are essentially channeling the smoke from those Canadian wildfires through Pennsylvania into the Mid Atlantic and the Northeast and kind of just dropping the smoke there. So what is it in this haze that makes it harmful? And I'm assuming it is harmful. It is. The levels outside right now in Baltimore are considered unhealthy. And most of that is due to what's called particulate matter, which are tiny particles, microscopic smaller than the width of your hair that can get into your lungs and impact your respiratory system, your cardiovascular system, and even your neurological your brain. What makes this particularly harmful? Is it the volume of particulant? Is it something in particular? What is it exactly? Can you just drill down on that a little bit more? Yeah. So the concentration of particulate matter I was looking at some of the monitors that we have was reaching levels of what are, in science, big 150 micrograms per meter cubed, which is more than ten times what the annual average should be and about four times higher than what you're supposed to have on a 24 hours average. And so the concentrations of these particles in the air are just much, much higher than we typically see. And exposure to those high levels can lead to a host of health problems. And who is most vulnerable? I noticed that in New York City, for example, they're canceling outdoor activities. And so here it is in the early days of summer, and they have to keep all the kids inside. So who tends to be vulnerable in a situation like this? It's the youngest. So children, obviously, whose bodies are still developing. The elderly, who are their bodies are more in decline and they're more susceptible to the health impacts of breathing, the poor air quality. And then people who have preexisting health conditions, people with respiratory conditions or heart conditions can be triggered by high levels of air pollution. Could this get worse? That's a good question. In some areas, it's much worse than others. And it just depends on kind of where the smoke is concentrated. I think New York has some of the higher concentrations right now, but that's going to change as that air moves away from the New York area. But over the course of the next few days, we will see different areas being hit at different times with the highest concentrations. I was going to ask you about more fires start burning. I don't expect the concentrations to go up too much higher. I was going to ask you how and you started to answer this, but how much longer could this last? Or forgive me if I'm asking you to speculate, but what do you think? Well, I think the fires are going to burn for a little bit longer, but the key for us in the US. Is the weather system changing. And so right now, it's kind of the weather systems that are pulling that air into our mid Atlantic and Northeast region. As those weather systems change and shift, we'll see that smoke going elsewhere and not impact us in this region as much. And so I think that's going to be the defining factor. And I think the next couple of days we're going to see a shift in that weather pattern and start to push the smoke away from where we are. And finally, with the impacts of climate change, we are seeing more wildfires. Will we be seeing more of these kinds of wide ranging air quality consequences or circumstances? I mean, that is one of the predictions for climate change. Looking into the future, the fire season is starting earlier and lasting longer, and we're seeing more frequent fires. So, yeah, this is probably something that we'll be seeing more frequently. This tends to be much more of an issue in the Western US. So the eastern US. Getting hit right now is a little bit new. But yeah, I think with climate change moving forward, this is something that is going to happen more frequently. That's Peter De Carlo, associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University. Sergeant Carlo, thanks so much for joining us and sharing this expertise with us. Thank you for having me.",
- words:
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- text: "Smoke",
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- confidence: 0.97465,
- speaker: null,
- },
- {
- text: "from",
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- format_text: true,
- multichannel: false,
- webhook_url: "https://your-webhook-url.tld/path",
- webhook_status_code: 200,
- webhook_auth: true,
- webhook_auth_header_name: "webhook-secret",
- auto_highlights_result:
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- redact_pii_audio_quality: "mp3",
- redact_pii_policies:
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- redact_pii_sub: "hash",
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- entity_type: "location",
- text: "the US",
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- end: 45898,
- },
- {
- entity_type: "nationality",
- text: "Canadian",
- start: 49728,
- end: 50086,
- },
- ],
- chapters: null,
- summary: null,
- speakers_expected: 2,
- }
-
+ id: 9ea68fd3-f953-42c1-9742-976c447fb463
+ speech_model: null
+ language_model: assemblyai_default
+ acoustic_model: assemblyai_default
+ language_code: en_us
+ language_detection: true
+ language_confidence_threshold: 0.7
+ language_confidence: 0.9959
+ status: completed
+ audio_url: https://assembly.ai/wildfires.mp3
+ text: >-
+ Smoke from hundreds of wildfires in Canada is triggering air quality
+ alerts throughout the US. Skylines from Maine to Maryland to Minnesota
+ are gray and smoggy. And in some places, the air quality warnings
+ include the warning to stay inside. We wanted to better understand
+ what's happening here and why, so we called Peter de Carlo, an
+ associate professor in the Department of Environmental Health and
+ Engineering at Johns Hopkins University Varsity. Good morning,
+ professor. Good morning. What is it about the conditions right now
+ that have caused this round of wildfires to affect so many people so
+ far away? Well, there's a couple of things. The season has been pretty
+ dry already. And then the fact that we're getting hit in the US. Is
+ because there's a couple of weather systems that are essentially
+ channeling the smoke from those Canadian wildfires through
+ Pennsylvania into the Mid Atlantic and the Northeast and kind of just
+ dropping the smoke there. So what is it in this haze that makes it
+ harmful? And I'm assuming it is harmful. It is. The levels outside
+ right now in Baltimore are considered unhealthy. And most of that is
+ due to what's called particulate matter, which are tiny particles,
+ microscopic smaller than the width of your hair that can get into your
+ lungs and impact your respiratory system, your cardiovascular system,
+ and even your neurological your brain. What makes this particularly
+ harmful? Is it the volume of particulant? Is it something in
+ particular? What is it exactly? Can you just drill down on that a
+ little bit more? Yeah. So the concentration of particulate matter I
+ was looking at some of the monitors that we have was reaching levels
+ of what are, in science, big 150 micrograms per meter cubed, which is
+ more than ten times what the annual average should be and about four
+ times higher than what you're supposed to have on a 24 hours average.
+ And so the concentrations of these particles in the air are just much,
+ much higher than we typically see. And exposure to those high levels
+ can lead to a host of health problems. And who is most vulnerable? I
+ noticed that in New York City, for example, they're canceling outdoor
+ activities. And so here it is in the early days of summer, and they
+ have to keep all the kids inside. So who tends to be vulnerable in a
+ situation like this? It's the youngest. So children, obviously, whose
+ bodies are still developing. The elderly, who are their bodies are
+ more in decline and they're more susceptible to the health impacts of
+ breathing, the poor air quality. And then people who have preexisting
+ health conditions, people with respiratory conditions or heart
+ conditions can be triggered by high levels of air pollution. Could
+ this get worse? That's a good question. In some areas, it's much worse
+ than others. And it just depends on kind of where the smoke is
+ concentrated. I think New York has some of the higher concentrations
+ right now, but that's going to change as that air moves away from the
+ New York area. But over the course of the next few days, we will see
+ different areas being hit at different times with the highest
+ concentrations. I was going to ask you about more fires start burning.
+ I don't expect the concentrations to go up too much higher. I was
+ going to ask you how and you started to answer this, but how much
+ longer could this last? Or forgive me if I'm asking you to speculate,
+ but what do you think? Well, I think the fires are going to burn for a
+ little bit longer, but the key for us in the US. Is the weather system
+ changing. And so right now, it's kind of the weather systems that are
+ pulling that air into our mid Atlantic and Northeast region. As those
+ weather systems change and shift, we'll see that smoke going elsewhere
+ and not impact us in this region as much. And so I think that's going
+ to be the defining factor. And I think the next couple of days we're
+ going to see a shift in that weather pattern and start to push the
+ smoke away from where we are. And finally, with the impacts of climate
+ change, we are seeing more wildfires. Will we be seeing more of these
+ kinds of wide ranging air quality consequences or circumstances? I
+ mean, that is one of the predictions for climate change. Looking into
+ the future, the fire season is starting earlier and lasting longer,
+ and we're seeing more frequent fires. So, yeah, this is probably
+ something that we'll be seeing more frequently. This tends to be much
+ more of an issue in the Western US. So the eastern US. Getting hit
+ right now is a little bit new. But yeah, I think with climate change
+ moving forward, this is something that is going to happen more
+ frequently. That's Peter De Carlo, associate professor in the
+ Department of Environmental Health and Engineering at Johns Hopkins
+ University. Sergeant Carlo, thanks so much for joining us and sharing
+ this expertise with us. Thank you for having me.
+ words:
+ - text: Smoke
+ start: 250
+ end: 650
+ confidence: 0.97465
+ speaker: null
+ - text: from
+ start: 730
+ end: 1022
+ confidence: 0.99999
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+ - text: hundreds
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+ end: 1418
+ confidence: 0.99844
+ speaker: null
+ - text: of
+ start: 1434
+ end: 1614
+ confidence: 0.84
+ speaker: null
+ - text: wildfires
+ start: 1652
+ end: 2346
+ confidence: 0.89572
+ speaker: null
+ - text: in
+ start: 2378
+ end: 2526
+ confidence: 0.99994
+ speaker: null
+ - text: Canada
+ start: 2548
+ end: 3130
+ confidence: 0.93953
+ speaker: null
+ - text: is
+ start: 3210
+ end: 3454
+ confidence: 0.999
+ speaker: null
+ - text: triggering
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+ end: 3946
+ confidence: 0.74794
+ speaker: null
+ - text: air
+ start: 3978
+ end: 4174
+ confidence: 1
+ speaker: null
+ - text: quality
+ start: 4212
+ end: 4558
+ confidence: 0.88077
+ speaker: null
+ - text: alerts
+ start: 4644
+ end: 5114
+ confidence: 0.94814
+ speaker: null
+ - text: throughout
+ start: 5162
+ end: 5466
+ confidence: 0.99726
+ speaker: null
+ - text: the
+ start: 5498
+ end: 5694
+ confidence: 0.79
+ speaker: null
+ - text: US.
+ start: 5732
+ end: 6382
+ confidence: 0.89
+ speaker: null
+ utterances:
+ - confidence: 0.9359033333333334
+ end: 26950
+ speaker: A
+ start: 250
+ text: >-
+ Smoke from hundreds of wildfires in Canada is triggering air
+ quality alerts throughout the US. Skylines from Maine to Maryland
+ to Minnesota are gray and smoggy. And in some places, the air
+ quality warnings include the warning to stay inside. We wanted to
+ better understand what's happening here and why, so we called
+ Peter de Carlo, an associate professor in the Department of
+ Environmental Health and Engineering at Johns Hopkins University
+ Varsity. Good morning, professor.
+ words:
+ - text: Smoke
+ start: 250
+ end: 650
+ confidence: 0.97503
+ speaker: A
+ - text: from
+ start: 730
+ end: 1022
+ confidence: 0.99999
+ speaker: A
+ - text: hundreds
+ start: 1076
+ end: 1418
+ confidence: 0.99843
+ speaker: A
+ - text: of
+ start: 1434
+ end: 1614
+ confidence: 0.85
+ speaker: A
+ - text: wildfires
+ start: 1652
+ end: 2346
+ confidence: 0.89657
+ speaker: A
+ - text: in
+ start: 2378
+ end: 2526
+ confidence: 0.99994
+ speaker: A
+ - text: Canada
+ start: 2548
+ end: 3130
+ confidence: 0.93864
+ speaker: A
+ - text: is
+ start: 3210
+ end: 3454
+ confidence: 0.999
+ speaker: A
+ - text: triggering
+ start: 3492
+ end: 3946
+ confidence: 0.75366
+ speaker: A
+ - text: air
+ start: 3978
+ end: 4174
+ confidence: 1
+ speaker: A
+ - text: quality
+ start: 4212
+ end: 4558
+ confidence: 0.87745
+ speaker: A
+ - text: alerts
+ start: 4644
+ end: 5114
+ confidence: 0.94739
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+ - text: throughout
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+ end: 5466
+ confidence: 0.99726
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+ end: 5694
+ confidence: 0.79
+ speaker: A
+ - text: US.
+ start: 5732
+ end: 6382
+ confidence: 0.88
+ speaker: A
+ confidence: 0.9404651451800253
+ audio_duration: 281
+ punctuate: true
+ format_text: true
+ multichannel: false
+ webhook_url: https://your-webhook-url.tld/path
+ webhook_status_code: 200
+ webhook_auth: true
+ webhook_auth_header_name: webhook-secret
+ auto_highlights_result:
+ status: success
+ results:
+ - count: 1
+ rank: 0.08
+ text: air quality alerts
+ timestamps:
+ - start: 3978
+ end: 5114
+ - count: 1
+ rank: 0.08
+ text: wide ranging air quality consequences
+ timestamps:
+ - start: 235388
+ end: 238694
+ - count: 1
+ rank: 0.07
+ text: more wildfires
+ timestamps:
+ - start: 230972
+ end: 232354
+ - count: 1
+ rank: 0.07
+ text: air pollution
+ timestamps:
+ - start: 156004
+ end: 156910
+ - count: 3
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+ text: weather systems
+ timestamps:
+ - start: 47344
+ end: 47958
+ - start: 205268
+ end: 205818
+ - start: 211588
+ end: 213434
+ - count: 2
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+ text: high levels
+ timestamps:
+ - start: 121128
+ end: 121646
+ - start: 155412
+ end: 155866
+ - count: 1
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+ text: health conditions
+ timestamps:
+ - start: 152138
+ end: 152666
+ - count: 2
+ rank: 0.06
+ text: Peter de Carlo
+ timestamps:
+ - start: 18948
+ end: 19930
+ - start: 268298
+ end: 269194
+ - count: 1
+ rank: 0.06
+ text: New York City
+ timestamps:
+ - start: 125768
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+ - count: 1
+ rank: 0.05
+ text: respiratory conditions
+ timestamps:
+ - start: 152964
+ end: 153786
+ - count: 3
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+ text: New York
+ timestamps:
+ - start: 125768
+ end: 126034
+ - start: 171448
+ end: 171938
+ - start: 176008
+ end: 176322
+ - count: 3
+ rank: 0.05
+ text: climate change
+ timestamps:
+ - start: 229548
+ end: 230230
+ - start: 244576
+ end: 245162
+ - start: 263348
+ end: 263950
+ - count: 1
+ rank: 0.05
+ text: Johns Hopkins University Varsity
+ timestamps:
+ - start: 23972
+ end: 25490
+ - count: 1
+ rank: 0.05
+ text: heart conditions
+ timestamps:
+ - start: 153988
+ end: 154506
+ - count: 1
+ rank: 0.05
+ text: air quality warnings
+ timestamps:
+ - start: 12308
+ end: 13434
+ auto_highlights: true
+ audio_start_from: 10
+ audio_end_at: 280
+ filter_profanity: true
+ redact_pii: true
+ redact_pii_audio: true
+ redact_pii_audio_quality: mp3
+ redact_pii_policies:
+ - us_social_security_number
+ - credit_card_number
+ redact_pii_sub: hash
+ speaker_labels: true
+ content_safety: true
+ iab_categories: true
+ content_safety_labels:
+ status: success
+ results:
+ - text: >-
+ Smoke from hundreds of wildfires in Canada is triggering air
+ quality alerts throughout the US. Skylines from Maine to
+ Maryland to Minnesota are gray and smoggy. And in some places,
+ the air quality warnings include the warning to stay inside. We
+ wanted to better understand what's happening here and why, so we
+ called Peter de Carlo, an associate professor in the Department
+ of Environmental Health and Engineering at Johns Hopkins
+ University Varsity. Good morning, professor. Good morning.
+ labels:
+ - label: disasters
+ confidence: 0.8142836093902588
+ severity: 0.4093044400215149
+ sentences_idx_start: 0
+ sentences_idx_end: 5
+ timestamp:
+ start: 250
+ end: 28840
+ summary:
+ disasters: 0.9940800441842205
+ health_issues: 0.9216489289040967
+ severity_score_summary:
+ disasters:
+ low: 0.5733263024656846
+ medium: 0.42667369753431533
+ high: 0
+ health_issues:
+ low: 0.22863814977924785
+ medium: 0.45014154926938227
+ high: 0.32122030095136983
+ iab_categories_result:
+ status: success
+ results:
+ - text: >-
+ Smoke from hundreds of wildfires in Canada is triggering air
+ quality alerts throughout the US. Skylines from Maine to
+ Maryland to Minnesota are gray and smoggy. And in some places,
+ the air quality warnings include the warning to stay inside. We
+ wanted to better understand what's happening here and why, so we
+ called Peter de Carlo, an associate professor in the Department
+ of Environmental Health and Engineering at Johns Hopkins
+ University Varsity. Good morning, professor. Good morning.
+ labels:
+ - relevance: 0.988274097442627
+ label: Home&Garden>IndoorEnvironmentalQuality
+ - relevance: 0.5821335911750793
+ label: NewsAndPolitics>Weather
+ - relevance: 0.0042327106930315495
+ label: MedicalHealth>DiseasesAndConditions>LungAndRespiratoryHealth
+ - relevance: 0.0033971222583204508
+ label: NewsAndPolitics>Disasters
+ - relevance: 0.002469958271831274
+ label: BusinessAndFinance>Business>GreenSolutions
+ - relevance: 0.0014376690378412604
+ label: MedicalHealth>DiseasesAndConditions>Cancer
+ - relevance: 0.0014294233405962586
+ label: Science>Environment
+ - relevance: 0.001234519761055708
+ label: Travel>TravelLocations>PolarTravel
+ - relevance: 0.0010231725173071027
+ label: MedicalHealth>DiseasesAndConditions>ColdAndFlu
+ - relevance: 0.0007445293595083058
+ label: BusinessAndFinance>Industries>PowerAndEnergyIndustry
+ timestamp:
+ start: 250
+ end: 28840
+ summary:
+ NewsAndPolitics>Weather: 1
+ Home&Garden>IndoorEnvironmentalQuality: 0.9043831825256348
+ Science>Environment: 0.16117265820503235
+ BusinessAndFinance>Industries>EnvironmentalServicesIndustry: 0.14393523335456848
+ MedicalHealth>DiseasesAndConditions>LungAndRespiratoryHealth: 0.11401086300611496
+ BusinessAndFinance>Business>GreenSolutions: 0.06348437070846558
+ NewsAndPolitics>Disasters: 0.05041387677192688
+ Travel>TravelLocations>PolarTravel: 0.01308488193899393
+ HealthyLiving: 0.008222488686442375
+ MedicalHealth>DiseasesAndConditions>ColdAndFlu: 0.0022315620444715023
+ MedicalHealth>DiseasesAndConditions>HeartAndCardiovascularDiseases: 0.00213034451007843
+ HealthyLiving>Wellness>SmokingCessation: 0.001540527562610805
+ MedicalHealth>DiseasesAndConditions>Injuries: 0.0013950627762824297
+ BusinessAndFinance>Industries>PowerAndEnergyIndustry: 0.0012570273829624057
+ MedicalHealth>DiseasesAndConditions>Cancer: 0.001097781932912767
+ MedicalHealth>DiseasesAndConditions>Allergies: 0.0010148967849090695
+ MedicalHealth>DiseasesAndConditions>MentalHealth: 0.000717321818228811
+ Style&Fashion>PersonalCare>DeodorantAndAntiperspirant: 0.0006022014422342181
+ Technology&Computing>Computing>ComputerNetworking: 0.0005461975233629346
+ MedicalHealth>DiseasesAndConditions>Injuries>FirstAid: 0.0004885646631009877
+ custom_spelling: null
+ throttled: null
+ auto_chapters: false
+ summarization: false
+ summary_type: null
+ summary_model: null
+ custom_topics: true
+ topics: []
+ speech_threshold: 0.5
+ remove_audio_tags: null
+ domain: null
+ disfluencies: false
+ sentiment_analysis: true
+ sentiment_analysis_results: null
+ entity_detection: true
+ entities:
+ - entity_type: location
+ text: Canada
+ start: 2548
+ end: 3130
+ - entity_type: location
+ text: the US
+ start: 5498
+ end: 6382
+ - entity_type: location
+ text: Maine
+ start: 7492
+ end: 7914
+ - entity_type: location
+ text: Maryland
+ start: 8212
+ end: 8634
+ - entity_type: location
+ text: Minnesota
+ start: 8932
+ end: 9578
+ - entity_type: person_name
+ text: Peter de Carlo
+ start: 18948
+ end: 19930
+ - entity_type: occupation
+ text: associate professor
+ start: 20292
+ end: 21194
+ - entity_type: organization
+ text: Department of Environmental Health and Engineering
+ start: 21508
+ end: 23706
+ - entity_type: organization
+ text: Johns Hopkins University Varsity
+ start: 23972
+ end: 25490
+ - entity_type: occupation
+ text: professor
+ start: 26076
+ end: 26950
+ - entity_type: location
+ text: the US
+ start: 45184
+ end: 45898
+ - entity_type: nationality
+ text: Canadian
+ start: 49728
+ end: 50086
+ chapters: null
+ summary: null
+ speakers_expected: 2
TopicDetectionModelResult:
x-label: Topic Detection result
- description: |
+ description: >
The result of the Topic Detection model, if it is enabled.
- See [Topic Detection](https://www.assemblyai.com/docs/speech-understanding/topic-detection) for more information.
+
+ See [Topic
+ Detection](https://www.assemblyai.com/docs/speech-understanding/topic-detection)
+ for more information.
x-fern-sdk-group-name: transcripts
type: object
required:
@@ -3620,15 +4142,17 @@ components:
properties:
status:
x-label: Status
- description: The status of the Topic Detection model. Either success, or unavailable in the rare case that the model failed.
- $ref: "#/components/schemas/AudioIntelligenceModelStatus"
+ description: >-
+ The status of the Topic Detection model. Either success, or
+ unavailable in the rare case that the model failed.
+ $ref: '#/components/schemas/AudioIntelligenceModelStatus'
results:
x-label: Results
description: An array of results for the Topic Detection model
type: array
items:
x-label: Topic Detection result
- $ref: "#/components/schemas/TopicDetectionResult"
+ $ref: '#/components/schemas/TopicDetectionResult'
summary:
x-label: Summary
description: The overall relevance of topic to the entire audio file
@@ -3639,88 +4163,70 @@ components:
minimum: 0
maximum: 1
example:
- {
- status: "success",
- results:
- [
- {
- text: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what's happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning.",
- labels:
- [
- {
- relevance: 0.988274097442627,
- label: "Home&Garden>IndoorEnvironmentalQuality",
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- {
- relevance: 0.5821335911750793,
- label: "NewsAndPolitics>Weather",
- },
- {
- relevance: 0.0042327106930315495,
- label: "MedicalHealth>DiseasesAndConditions>LungAndRespiratoryHealth",
- },
- {
- relevance: 0.0033971222583204508,
- label: "NewsAndPolitics>Disasters",
- },
- {
- relevance: 0.002469958271831274,
- label: "BusinessAndFinance>Business>GreenSolutions",
- },
- {
- relevance: 0.0014376690378412604,
- label: "MedicalHealth>DiseasesAndConditions>Cancer",
- },
- {
- relevance: 0.0014294233405962586,
- label: "Science>Environment",
- },
- {
- relevance: 0.001234519761055708,
- label: "Travel>TravelLocations>PolarTravel",
- },
- {
- relevance: 0.0010231725173071027,
- label: "MedicalHealth>DiseasesAndConditions>ColdAndFlu",
- },
- {
- relevance: 0.0007445293595083058,
- label: "BusinessAndFinance>Industries>PowerAndEnergyIndustry",
- },
- ],
- timestamp: { start: 250, end: 28840 },
- },
- ],
- summary:
- {
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- "Home&Garden>IndoorEnvironmentalQuality": 0.9043831825256348,
- "Science>Environment": 0.16117265820503235,
- "BusinessAndFinance>Industries>EnvironmentalServicesIndustry": 0.14393523335456848,
- "MedicalHealth>DiseasesAndConditions>LungAndRespiratoryHealth": 0.11401086300611496,
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- "NewsAndPolitics>Disasters": 0.05041387677192688,
- "Travel>TravelLocations>PolarTravel": 0.01308488193899393,
- HealthyLiving: 0.008222488686442375,
- "MedicalHealth>DiseasesAndConditions>ColdAndFlu": 0.0022315620444715023,
- "MedicalHealth>DiseasesAndConditions>HeartAndCardiovascularDiseases": 0.00213034451007843,
- "HealthyLiving>Wellness>SmokingCessation": 0.001540527562610805,
- "MedicalHealth>DiseasesAndConditions>Injuries": 0.0013950627762824297,
- "BusinessAndFinance>Industries>PowerAndEnergyIndustry": 0.0012570273829624057,
- "MedicalHealth>DiseasesAndConditions>Cancer": 0.001097781932912767,
- "MedicalHealth>DiseasesAndConditions>Allergies": 0.0010148967849090695,
- "MedicalHealth>DiseasesAndConditions>MentalHealth": 0.000717321818228811,
- "Style&Fashion>PersonalCare>DeodorantAndAntiperspirant": 0.0006022014422342181,
- "Technology&Computing>Computing>ComputerNetworking": 0.0005461975233629346,
- "MedicalHealth>DiseasesAndConditions>Injuries>FirstAid": 0.0004885646631009877,
- },
- }
-
+ status: success
+ results:
+ - text: >-
+ Smoke from hundreds of wildfires in Canada is triggering air
+ quality alerts throughout the US. Skylines from Maine to Maryland
+ to Minnesota are gray and smoggy. And in some places, the air
+ quality warnings include the warning to stay inside. We wanted to
+ better understand what's happening here and why, so we called
+ Peter de Carlo, an associate professor in the Department of
+ Environmental Health and Engineering at Johns Hopkins University
+ Varsity. Good morning, professor. Good morning.
+ labels:
+ - relevance: 0.988274097442627
+ label: Home&Garden>IndoorEnvironmentalQuality
+ - relevance: 0.5821335911750793
+ label: NewsAndPolitics>Weather
+ - relevance: 0.0042327106930315495
+ label: MedicalHealth>DiseasesAndConditions>LungAndRespiratoryHealth
+ - relevance: 0.0033971222583204508
+ label: NewsAndPolitics>Disasters
+ - relevance: 0.002469958271831274
+ label: BusinessAndFinance>Business>GreenSolutions
+ - relevance: 0.0014376690378412604
+ label: MedicalHealth>DiseasesAndConditions>Cancer
+ - relevance: 0.0014294233405962586
+ label: Science>Environment
+ - relevance: 0.001234519761055708
+ label: Travel>TravelLocations>PolarTravel
+ - relevance: 0.0010231725173071027
+ label: MedicalHealth>DiseasesAndConditions>ColdAndFlu
+ - relevance: 0.0007445293595083058
+ label: BusinessAndFinance>Industries>PowerAndEnergyIndustry
+ timestamp:
+ start: 250
+ end: 28840
+ summary:
+ NewsAndPolitics>Weather: 1
+ Home&Garden>IndoorEnvironmentalQuality: 0.9043831825256348
+ Science>Environment: 0.16117265820503235
+ BusinessAndFinance>Industries>EnvironmentalServicesIndustry: 0.14393523335456848
+ MedicalHealth>DiseasesAndConditions>LungAndRespiratoryHealth: 0.11401086300611496
+ BusinessAndFinance>Business>GreenSolutions: 0.06348437070846558
+ NewsAndPolitics>Disasters: 0.05041387677192688
+ Travel>TravelLocations>PolarTravel: 0.01308488193899393
+ HealthyLiving: 0.008222488686442375
+ MedicalHealth>DiseasesAndConditions>ColdAndFlu: 0.0022315620444715023
+ MedicalHealth>DiseasesAndConditions>HeartAndCardiovascularDiseases: 0.00213034451007843
+ HealthyLiving>Wellness>SmokingCessation: 0.001540527562610805
+ MedicalHealth>DiseasesAndConditions>Injuries: 0.0013950627762824297
+ BusinessAndFinance>Industries>PowerAndEnergyIndustry: 0.0012570273829624057
+ MedicalHealth>DiseasesAndConditions>Cancer: 0.001097781932912767
+ MedicalHealth>DiseasesAndConditions>Allergies: 0.0010148967849090695
+ MedicalHealth>DiseasesAndConditions>MentalHealth: 0.000717321818228811
+ Style&Fashion>PersonalCare>DeodorantAndAntiperspirant: 0.0006022014422342181
+ Technology&Computing>Computing>ComputerNetworking: 0.0005461975233629346
+ MedicalHealth>DiseasesAndConditions>Injuries>FirstAid: 0.0004885646631009877
ContentSafetyLabelsResult:
x-label: Content Moderation labels result
- description: |
+ description: >
An array of results for the Content Moderation model, if it is enabled.
- See [Content moderation](https://www.assemblyai.com/docs/content-moderation) for more information.
+
+ See [Content
+ moderation](https://www.assemblyai.com/docs/content-moderation) for more
+ information.
x-fern-sdk-group-name: transcripts
type: object
required:
@@ -3731,73 +4237,72 @@ components:
properties:
status:
x-label: Status
- description: The status of the Content Moderation model. Either success, or unavailable in the rare case that the model failed.
- $ref: "#/components/schemas/AudioIntelligenceModelStatus"
+ description: >-
+ The status of the Content Moderation model. Either success, or
+ unavailable in the rare case that the model failed.
+ $ref: '#/components/schemas/AudioIntelligenceModelStatus'
results:
x-label: Results
description: An array of results for the Content Moderation model
type: array
items:
x-label: Content Moderation label result
- $ref: "#/components/schemas/ContentSafetyLabelResult"
+ $ref: '#/components/schemas/ContentSafetyLabelResult'
summary:
x-label: Summary
- description: A summary of the Content Moderation confidence results for the entire audio file
+ description: >-
+ A summary of the Content Moderation confidence results for the
+ entire audio file
type: object
additionalProperties:
- description: A confidence score for the presence of the sensitive topic "topic" across the entire audio file
+ description: >-
+ A confidence score for the presence of the sensitive topic "topic"
+ across the entire audio file
type: number
format: double
minimum: 0
maximum: 1
severity_score_summary:
x-label: Severity score summary
- description: A summary of the Content Moderation severity results for the entire audio file
+ description: >-
+ A summary of the Content Moderation severity results for the entire
+ audio file
type: object
additionalProperties:
- $ref: "#/components/schemas/SeverityScoreSummary"
+ $ref: '#/components/schemas/SeverityScoreSummary'
example:
- {
- status: "success",
- results:
- [
- {
- text: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what's happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning.",
- labels:
- [
- {
- label: "disasters",
- confidence: 0.8142836093902588,
- severity: 0.4093044400215149,
- },
- ],
- sentences_idx_start: 0,
- sentences_idx_end: 5,
- timestamp: { start: 250, end: 28840 },
- },
- ],
- summary:
- {
- disasters: 0.9940800441842205,
- health_issues: 0.9216489289040967,
- },
- severity_score_summary:
- {
- disasters:
- {
- low: 0.5733263024656846,
- medium: 0.42667369753431533,
- high: 0.0,
- },
- health_issues:
- {
- low: 0.22863814977924785,
- medium: 0.45014154926938227,
- high: 0.32122030095136983,
- },
- },
- }
-
+ status: success
+ results:
+ - text: >-
+ Smoke from hundreds of wildfires in Canada is triggering air
+ quality alerts throughout the US. Skylines from Maine to Maryland
+ to Minnesota are gray and smoggy. And in some places, the air
+ quality warnings include the warning to stay inside. We wanted to
+ better understand what's happening here and why, so we called
+ Peter de Carlo, an associate professor in the Department of
+ Environmental Health and Engineering at Johns Hopkins University
+ Varsity. Good morning, professor. Good morning.
+ labels:
+ - label: disasters
+ confidence: 0.8142836093902588
+ severity: 0.4093044400215149
+ sentences_idx_start: 0
+ sentences_idx_end: 5
+ timestamp:
+ start: 250
+ end: 28840
+ summary:
+ disasters: 0.9940800441842205
+ health_issues: 0.9216489289040967
+ severity_score_summary:
+ disasters:
+ low: 0.5733263024656846
+ medium: 0.42667369753431533
+ high: 0
+ health_issues:
+ low: 0.22863814977924785
+ medium: 0.45014154926938227
+ high: 0.32122030095136983
Chapter:
x-label: Chapter
description: Chapter of the audio file
@@ -3813,7 +4318,9 @@ components:
properties:
gist:
x-label: Gist
- description: An ultra-short summary (just a few words) of the content spoken in the chapter
+ description: >-
+ An ultra-short summary (just a few words) of the content spoken in
+ the chapter
type: string
headline:
x-label: Headline
@@ -3832,14 +4339,17 @@ components:
description: The starting time, in milliseconds, for the chapter
type: integer
example:
- {
- summary: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. In some places, the air quality warnings include the warning to stay inside.",
- gist: "Smoggy air quality alerts across US",
- headline: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts across US",
- start: 250,
- end: 28840,
- }
-
+ summary: >-
+ Smoke from hundreds of wildfires in Canada is triggering air quality
+ alerts throughout the US. Skylines from Maine to Maryland to Minnesota
+ are gray and smoggy. In some places, the air quality warnings include
+ the warning to stay inside.
+ gist: Smoggy air quality alerts across US
+ headline: >-
+ Smoke from hundreds of wildfires in Canada is triggering air quality
+ alerts across US
+ start: 250
+ end: 28840
Entity:
x-label: Entity
description: A detected entity
@@ -3855,22 +4365,28 @@ components:
entity_type:
x-label: Entity type
description: The type of entity for the detected entity
- $ref: "#/components/schemas/EntityType"
+ $ref: '#/components/schemas/EntityType'
text:
x-label: Text
description: The text for the detected entity
type: string
start:
x-label: Start
- description: The starting time, in milliseconds, at which the detected entity appears in the audio file
+ description: >-
+ The starting time, in milliseconds, at which the detected entity
+ appears in the audio file
type: integer
end:
x-label: End
- description: The ending time, in milliseconds, for the detected entity in the audio file
+ description: >-
+ The ending time, in milliseconds, for the detected entity in the
+ audio file
type: integer
example:
- { entity_type: "location", text: "Canada", start: 2548, end: 3130 }
-
+ entity_type: location
+ text: Canada
+ start: 2548
+ end: 3130
EntityType:
x-label: Entity type
description: The type of entity for the detected entity
@@ -3933,15 +4449,15 @@ components:
- zodiac_sign
x-fern-enum:
account_number:
- description:
- "Customer account or membership identification number (e.g., Policy
- No. 10042992, Member ID: HZ-5235-001)"
+ description: >-
+ Customer account or membership identification number (e.g., Policy
+ No. 10042992, Member ID: HZ-5235-001)
banking_information:
description: Banking information, including account and routing numbers
blood_type:
description: Blood type (e.g., O-, AB positive)
credit_card_cvv:
- description: "Credit card verification code (e.g., CVV: 080)"
+ description: 'Credit card verification code (e.g., CVV: 080)'
credit_card_expiration:
description: Expiration date of a credit card
credit_card_number:
@@ -3949,52 +4465,56 @@ components:
date:
description: Specific calendar date (e.g., December 18)
date_interval:
- description:
+ description: >-
Broader time periods, including date ranges, months, seasons, years,
and decades (e.g., 2020-2021, 5-9 May, January 1984)
date_of_birth:
- description: "Date of birth (e.g., Date of Birth: March 7,1961)"
+ description: 'Date of birth (e.g., Date of Birth: March 7,1961)'
drivers_license:
description: Driver's license number. (e.g., DL# 356933-540)
drug:
- description:
+ description: >-
Medications, vitamins, or supplements (e.g., Advil, Acetaminophen,
Panadol)
duration:
- description:
- Measurements of time expressed as a numerical value plus a unit (e.g.,
- 8 months, 2 years)
+ description: >-
+ Measurements of time expressed as a numerical value plus a unit
+ (e.g., 8 months, 2 years)
email_address:
description: Email address (e.g., support@assemblyai.com)
event:
description: Name of an event or holiday (e.g., Olympics, Yom Kippur)
filename:
- description:
+ description: >-
Names of computer files, including the extension or filepath (e.g.,
Taxes/2012/brad-tax-returns.pdf)
gender:
description: Terms indicating gender identity (e.g., female, male, non-binary)
gender_sexuality:
- description:
+ description: >-
Terms indicating gender identity or sexual orientation, including
slang terms (e.g., female, bisexual, trans)
healthcare_number:
- description:
- "Healthcare numbers and health plan beneficiary numbers (e.g.,
- Policy No.: 5584-486-674-YM)"
+ description: >-
+ Healthcare numbers and health plan beneficiary numbers (e.g., Policy
+ No.: 5584-486-674-YM)
injury:
description: Bodily injury (e.g., I broke my arm, I have a sprained wrist)
ip_address:
- description: Internet IP address, including IPv4 and IPv6 formats (e.g., 192.168.0.1)
+ description: >-
+ Internet IP address, including IPv4 and IPv6 formats (e.g.,
+ 192.168.0.1)
language:
description: Name of a natural language (e.g., Spanish, French)
location:
- description:
- Any Location reference including mailing address, postal code,
- city, state, province, country, or coordinates. (e.g., Lake Victoria, 145
+ description: >-
+ Any Location reference including mailing address, postal code, city,
+ state, province, country, or coordinates. (e.g., Lake Victoria, 145
Windsor St., 90210)
location_address:
- description: A complete mailing address (e.g., 145 Windsor St., Toronto, ON M5A 2P5)
+ description: >-
+ A complete mailing address (e.g., 145 Windsor St., Toronto, ON M5A
+ 2P5)
location_address_street:
description: Street-level component of an address (e.g., 145 Windsor St.)
location_city:
@@ -4008,41 +4528,43 @@ components:
location_zip:
description: Postal or ZIP code (e.g., M5A 2P5, 90210)
marital_status:
- description:
+ description: >-
Terms indicating marital status (e.g., Single, common-law, ex-wife,
married)
medical_condition:
- description:
+ description: >-
Name of a medical condition, disease, syndrome, deficit, or disorder
(e.g., chronic fatigue syndrome, arrhythmia, depression)
medical_process:
- description:
+ description: >-
Medical process, including treatments, procedures, and tests (e.g.,
heart surgery, CT scan)
money_amount:
description: Name and/or amount of currency (e.g., 15 pesos, $94.50)
nationality:
- description:
+ description: >-
Terms indicating nationality, ethnicity, or race (e.g., American,
Asian, Caucasian)
number_sequence:
- description:
+ description: >-
Numerical PII (including alphanumeric strings) that doesn't fall
under other categories
occupation:
description: Job title or profession (e.g., professor, actors, engineer, CPA)
organization:
- description:
+ description: >-
Name of an organization (e.g., CNN, McDonalds, University of Alaska,
Northwest General Hospital)
organization_medical_facility:
- description:
+ description: >-
Name of a medical facility (e.g., Mayo Clinic, Northwest General
Hospital)
passport_number:
- description: Passport numbers, issued by any country (e.g., PA4568332, NU3C6L86S12)
+ description: >-
+ Passport numbers, issued by any country (e.g., PA4568332,
+ NU3C6L86S12)
password:
- description:
+ description: >-
Account passwords, PINs, access keys, or verification answers (e.g.,
27%alfalfa, temp1234, My mother's maiden name is Smith)
person_age:
@@ -4052,16 +4574,19 @@ components:
phone_number:
description: Telephone or fax number
physical_attribute:
- description: Distinctive bodily attributes, including race
- (e.g., I'm 190cm tall, He belongs to the Black students' association)
+ description: >-
+ Distinctive bodily attributes, including race (e.g., I'm 190cm tall,
+ He belongs to the Black students' association)
political_affiliation:
- description:
+ description: >-
Terms referring to a political party, movement, or ideology (e.g.,
Republican, Liberal)
religion:
description: Terms indicating religious affiliation (e.g., Hindu, Catholic)
sexuality:
- description: Terms indicating sexual orientation (e.g., heterosexual, bisexual, gay)
+ description: >-
+ Terms indicating sexual orientation (e.g., heterosexual, bisexual,
+ gay)
statistics:
description: Medical statistics (e.g., 18%, 18 percent)
time:
@@ -4073,9 +4598,9 @@ components:
username:
description: Usernames, login names, or handles (e.g., @AssemblyAI)
vehicle_id:
- description:
- Vehicle identification numbers (VINs), vehicle serial numbers,
- and license plate numbers (e.g., 5FNRL38918B111818, BIF7547)
+ description: >-
+ Vehicle identification numbers (VINs), vehicle serial numbers, and
+ license plate numbers (e.g., 5FNRL38918B111818, BIF7547)
zodiac_sign:
description: Names of Zodiac signs (e.g., Aries, Taurus)
x-aai-enum:
@@ -4187,7 +4712,6 @@ components:
label: Vehicle ID
zodiac_sign:
label: Zodiac sign
-
SentimentAnalysisResult:
x-label: Sentiment Analysis result
description: The result of the Sentiment Analysis model
@@ -4216,33 +4740,46 @@ components:
type: integer
sentiment:
x-label: Sentiment
- description: The detected sentiment for the sentence, one of POSITIVE, NEUTRAL, NEGATIVE
- $ref: "#/components/schemas/Sentiment"
+ description: >-
+ The detected sentiment for the sentence, one of POSITIVE, NEUTRAL,
+ NEGATIVE
+ $ref: '#/components/schemas/Sentiment'
confidence:
x-label: Confidence
- description: The confidence score for the detected sentiment of the sentence, from 0 to 1
+ description: >-
+ The confidence score for the detected sentiment of the sentence,
+ from 0 to 1
type: number
format: double
minimum: 0
maximum: 1
channel:
x-label: Channel
- description: The channel of this utterance. The left and right channels are channels 1 and 2. Additional channels increment the channel number sequentially.
- type: [string, "null"]
+ description: >-
+ The channel of this utterance. The left and right channels are
+ channels 1 and 2. Additional channels increment the channel number
+ sequentially.
+ type:
+ - string
+ - 'null'
speaker:
x-label: Speaker
- description: The speaker of the sentence if [Speaker Diarization](https://www.assemblyai.com/docs/pre-recorded-audio/label-speakers) is enabled, else null
- type: [string, "null"]
+ description: >-
+ The speaker of the sentence if [Speaker
+ Diarization](https://www.assemblyai.com/docs/pre-recorded-audio/label-speakers)
+ is enabled, else null
+ type:
+ - string
+ - 'null'
example:
- {
- text: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US.",
- start: 250,
- end: 6350,
- sentiment: "NEGATIVE",
- confidence: 0.8181032538414001,
- speaker: null,
- }
-
+ text: >-
+ Smoke from hundreds of wildfires in Canada is triggering air quality
+ alerts throughout the US.
+ start: 250
+ end: 6350
+ sentiment: NEGATIVE
+ confidence: 0.8181032538414001
+ speaker: null
Sentiment:
x-label: Sentiment
x-fern-sdk-group-name: transcripts
@@ -4257,7 +4794,6 @@ components:
label: Neutral
NEGATIVE:
label: Negative
-
TopicDetectionResult:
x-label: Topic detection result
description: The result of the topic detection model
@@ -4292,60 +4828,47 @@ components:
maximum: 1
label:
x-label: Label
- description: The IAB taxonomical label for the label of the detected topic, where > denotes supertopic/subtopic relationship
+ description: >-
+ The IAB taxonomical label for the label of the detected topic,
+ where > denotes supertopic/subtopic relationship
type: string
timestamp:
x-label: Timestamp
- $ref: "#/components/schemas/Timestamp"
+ $ref: '#/components/schemas/Timestamp'
example:
- {
- text: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what's happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning.",
- labels:
- [
- {
- relevance: 0.988274097442627,
- label: "Home&Garden>IndoorEnvironmentalQuality",
- },
- {
- relevance: 0.5821335911750793,
- label: "NewsAndPolitics>Weather",
- },
- {
- relevance: 0.0042327106930315495,
- label: "MedicalHealth>DiseasesAndConditions>LungAndRespiratoryHealth",
- },
- {
- relevance: 0.0033971222583204508,
- label: "NewsAndPolitics>Disasters",
- },
- {
- relevance: 0.002469958271831274,
- label: "BusinessAndFinance>Business>GreenSolutions",
- },
- {
- relevance: 0.0014376690378412604,
- label: "MedicalHealth>DiseasesAndConditions>Cancer",
- },
- {
- relevance: 0.0014294233405962586,
- label: "Science>Environment",
- },
- {
- relevance: 0.001234519761055708,
- label: "Travel>TravelLocations>PolarTravel",
- },
- {
- relevance: 0.0010231725173071027,
- label: "MedicalHealth>DiseasesAndConditions>ColdAndFlu",
- },
- {
- relevance: 0.0007445293595083058,
- label: "BusinessAndFinance>Industries>PowerAndEnergyIndustry",
- },
- ],
- timestamp: { start: 250, end: 28840 },
- }
-
+ text: >-
+ Smoke from hundreds of wildfires in Canada is triggering air quality
+ alerts throughout the US. Skylines from Maine to Maryland to Minnesota
+ are gray and smoggy. And in some places, the air quality warnings
+ include the warning to stay inside. We wanted to better understand
+ what's happening here and why, so we called Peter de Carlo, an
+ associate professor in the Department of Environmental Health and
+ Engineering at Johns Hopkins University Varsity. Good morning,
+ professor. Good morning.
+ labels:
+ - relevance: 0.988274097442627
+ label: Home&Garden>IndoorEnvironmentalQuality
+ - relevance: 0.5821335911750793
+ label: NewsAndPolitics>Weather
+ - relevance: 0.0042327106930315495
+ label: MedicalHealth>DiseasesAndConditions>LungAndRespiratoryHealth
+ - relevance: 0.0033971222583204508
+ label: NewsAndPolitics>Disasters
+ - relevance: 0.002469958271831274
+ label: BusinessAndFinance>Business>GreenSolutions
+ - relevance: 0.0014376690378412604
+ label: MedicalHealth>DiseasesAndConditions>Cancer
+ - relevance: 0.0014294233405962586
+ label: Science>Environment
+ - relevance: 0.001234519761055708
+ label: Travel>TravelLocations>PolarTravel
+ - relevance: 0.0010231725173071027
+ label: MedicalHealth>DiseasesAndConditions>ColdAndFlu
+ - relevance: 0.0007445293595083058
+ label: BusinessAndFinance>Industries>PowerAndEnergyIndustry
+ timestamp:
+ start: 250
+ end: 28840
ContentSafetyLabel:
x-label: Content Moderation label
type: object
@@ -4375,12 +4898,9 @@ components:
minimum: 0
maximum: 1
example:
- {
- label: "disasters",
- confidence: 0.8142836093902588,
- severity: 0.4093044400215149,
- }
-
+ label: disasters
+ confidence: 0.8142836093902588
+ severity: 0.4093044400215149
ContentSafetyLabelResult:
x-label: Content Moderation label result
type: object
@@ -4395,15 +4915,19 @@ components:
properties:
text:
x-label: Text
- description: The transcript of the section flagged by the Content Moderation model
+ description: >-
+ The transcript of the section flagged by the Content Moderation
+ model
type: string
labels:
x-label: Labels
- description: An array of safety labels, one per sensitive topic that was detected in the section
+ description: >-
+ An array of safety labels, one per sensitive topic that was detected
+ in the section
type: array
items:
x-label: Label
- $ref: "#/components/schemas/ContentSafetyLabel"
+ $ref: '#/components/schemas/ContentSafetyLabel'
sentences_idx_start:
x-label: Sentence index start
description: The sentence index at which the section begins
@@ -4415,23 +4939,26 @@ components:
timestamp:
x-label: Timestamp
description: Timestamp information for the section
- $ref: "#/components/schemas/Timestamp"
+ $ref: '#/components/schemas/Timestamp'
example:
- {
- text: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what's happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning.",
- labels:
- [
- {
- label: "disasters",
- confidence: 0.8142836093902588,
- severity: 0.4093044400215149,
- },
- ],
- sentences_idx_start: 0,
- sentences_idx_end: 5,
- timestamp: { start: 250, end: 28840 },
- }
-
+ text: >-
+ Smoke from hundreds of wildfires in Canada is triggering air quality
+ alerts throughout the US. Skylines from Maine to Maryland to Minnesota
+ are gray and smoggy. And in some places, the air quality warnings
+ include the warning to stay inside. We wanted to better understand
+ what's happening here and why, so we called Peter de Carlo, an
+ associate professor in the Department of Environmental Health and
+ Engineering at Johns Hopkins University Varsity. Good morning,
+ professor. Good morning.
+ labels:
+ - label: disasters
+ confidence: 0.8142836093902588
+ severity: 0.4093044400215149
+ sentences_idx_start: 0
+ sentences_idx_end: 5
+ timestamp:
+ start: 250
+ end: 28840
SeverityScoreSummary:
x-label: Severity score summary
type: object
@@ -4460,13 +4987,17 @@ components:
minimum: 0
maximum: 1
example:
- { low: 0.5733263024656846, medium: 0.42667369753431533, high: 0.0 }
-
+ low: 0.5733263024656846
+ medium: 0.42667369753431533
+ high: 0
AutoHighlightsResult:
x-label: Auto highlights result
- description: |
+ description: >
An array of results for the Key Phrases model, if it is enabled.
- See [Key phrases](https://www.assemblyai.com/docs/speech-understanding/key-phrases) for more information.
+
+ See [Key
+ phrases](https://www.assemblyai.com/docs/speech-understanding/key-phrases)
+ for more information.
x-fern-sdk-group-name: transcripts
type: object
required:
@@ -4475,136 +5006,126 @@ components:
properties:
status:
x-label: Status
- description: The status of the Key Phrases model. Either success, or unavailable in the rare case that the model failed.
- $ref: "#/components/schemas/AudioIntelligenceModelStatus"
+ description: >-
+ The status of the Key Phrases model. Either success, or unavailable
+ in the rare case that the model failed.
+ $ref: '#/components/schemas/AudioIntelligenceModelStatus'
results:
x-label: Results
description: A temporally-sequential array of Key Phrases
type: array
items:
x-label: Auto highlight result
- $ref: "#/components/schemas/AutoHighlightResult"
+ $ref: '#/components/schemas/AutoHighlightResult'
example:
- {
- status: "success",
- results:
- [
- {
- count: 1,
- rank: 0.08,
- text: "air quality alerts",
- timestamps: [{ start: 3978, end: 5114 }],
- },
- {
- count: 1,
- rank: 0.08,
- text: "wide ranging air quality consequences",
- timestamps: [{ start: 235388, end: 238694 }],
- },
- {
- count: 1,
- rank: 0.07,
- text: "more wildfires",
- timestamps: [{ start: 230972, end: 232354 }],
- },
- {
- count: 1,
- rank: 0.07,
- text: "air pollution",
- timestamps: [{ start: 156004, end: 156910 }],
- },
- {
- count: 3,
- rank: 0.07,
- text: "weather systems",
- timestamps:
- [
- { start: 47344, end: 47958 },
- { start: 205268, end: 205818 },
- { start: 211588, end: 213434 },
- ],
- },
- {
- count: 2,
- rank: 0.06,
- text: "high levels",
- timestamps:
- [
- { start: 121128, end: 121646 },
- { start: 155412, end: 155866 },
- ],
- },
- {
- count: 1,
- rank: 0.06,
- text: "health conditions",
- timestamps: [{ start: 152138, end: 152666 }],
- },
- {
- count: 2,
- rank: 0.06,
- text: "Peter de Carlo",
- timestamps:
- [
- { start: 18948, end: 19930 },
- { start: 268298, end: 269194 },
- ],
- },
- {
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- resource_url: "https://api.assemblyai.com/v2/transcript/b33f4691-85b7-4f31-be12-a87cef1c1229",
- status: "completed",
- created: "2024-03-11T21:29:59.936851",
- completed: "2024-03-11T21:30:07.314223",
- audio_url: "http://deleted_by_user",
- error: null,
- },
- {
- id: "ce522f10-d204-42e8-a838-6b95098145cc",
- resource_url: "https://api.assemblyai.com/v2/transcript/ce522f10-d204-42e8-a838-6b95098145cc",
- status: "error",
- created: "2024-03-11T21:23:59.979420",
- completed: null,
- audio_url: "https://storage.googleapis.com/client-docs-samples/nbc.oopsie",
- error: "Download error, unable to download https://storage.googleapis.com/client-docs-samples/nbc.oopsie. Please make sure the file exists and is accessible from the internet.",
- },
- {
- id: "28a73d01-98db-41dd-9e98-2533ba0af117",
- resource_url: "https://api.assemblyai.com/v2/transcript/28a73d01-98db-41dd-9e98-2533ba0af117",
- status: "completed",
- created: "2024-03-11T21:12:57.372215",
- completed: "2024-03-11T21:13:03.267020",
- audio_url: "https://assembly.ai/nbc.mp3",
- error: null,
- },
- ],
- }
-
+ page_details:
+ limit: 3
+ result_count: 3
+ current_url: https://api.assemblyai.com/v2/transcript?limit=3
+ prev_url: >-
+ https://api.assemblyai.com/v2/transcript?limit=3&before_id=28a73d01-98db-41dd-9e98-2533ba0af117
+ next_url: >-
+ https://api.assemblyai.com/v2/transcript?limit=3&after_id=b33f4691-85b7-4f31-be12-a87cef1c1229
+ transcripts:
+ - id: b33f4691-85b7-4f31-be12-a87cef1c1229
+ resource_url: >-
+ https://api.assemblyai.com/v2/transcript/b33f4691-85b7-4f31-be12-a87cef1c1229
+ status: completed
+ created: '2024-03-11T21:29:59.936851'
+ completed: '2024-03-11T21:30:07.314223'
+ audio_url: http://deleted_by_user
+ error: null
+ - id: ce522f10-d204-42e8-a838-6b95098145cc
+ resource_url: >-
+ https://api.assemblyai.com/v2/transcript/ce522f10-d204-42e8-a838-6b95098145cc
+ status: error
+ created: '2024-03-11T21:23:59.979420'
+ completed: null
+ audio_url: https://storage.googleapis.com/client-docs-samples/nbc.oopsie
+ error: >-
+ Download error, unable to download
+ https://storage.googleapis.com/client-docs-samples/nbc.oopsie.
+ Please make sure the file exists and is accessible from the
+ internet.
+ - id: 28a73d01-98db-41dd-9e98-2533ba0af117
+ resource_url: >-
+ https://api.assemblyai.com/v2/transcript/28a73d01-98db-41dd-9e98-2533ba0af117
+ status: completed
+ created: '2024-03-11T21:12:57.372215'
+ completed: '2024-03-11T21:13:03.267020'
+ audio_url: https://assembly.ai/nbc.mp3
+ error: null
UploadedFile:
x-label: Uploaded file
type: object
@@ -5284,15 +5773,13 @@ components:
properties:
upload_url:
x-label: Uploaded file URL
- description: |
- A URL that points to your audio file, accessible only by AssemblyAI's servers
+ description: >
+ A URL that points to your audio file, accessible only by
+ AssemblyAI's servers
type: string
format: url
example:
- {
- upload_url: "https://cdn.assemblyai.com/upload/f756988d-47e2-4ca3-96ce-04bb168f8f2a",
- }
-
+ upload_url: https://cdn.assemblyai.com/upload/f756988d-47e2-4ca3-96ce-04bb168f8f2a
AudioIntelligenceModelStatus:
x-label: Audio intelligence model status
x-fern-sdk-group-name: transcripts
@@ -5306,12 +5793,12 @@ components:
label: Success
unavailable:
label: Unavailable
-
Error:
x-label: Error
type: object
additionalProperties: true
- required: [error]
+ required:
+ - error
properties:
error:
x-label: Error message
@@ -5322,12 +5809,12 @@ components:
type: string
const: error
example:
- { error: "Transcript creation error, audio_url not found" }
-
- # Speech Understanding Request Schemas
+ error: Transcript creation error, audio_url not found
TranslationRequestBody:
x-label: Translation request body
- description: Request body for [Translation](https://www.assemblyai.com/docs/speech-understanding/translation).
+ description: >-
+ Request body for
+ [Translation](https://www.assemblyai.com/docs/speech-understanding/translation).
type: object
properties:
translation:
@@ -5337,76 +5824,119 @@ components:
type: array
items:
type: string
- description: List of target language codes (e.g., `["es", "de"]`). See [Translation](https://www.assemblyai.com/docs/speech-understanding/translation) for supported languages.
+ description: >-
+ List of target language codes (e.g., `["es", "de"]`). See
+ [Translation](https://www.assemblyai.com/docs/speech-understanding/translation)
+ for supported languages.
formal:
type: boolean
- description: Use formal language style. See [Translation](https://www.assemblyai.com/docs/speech-understanding/translation) for more details.
+ description: >-
+ Use formal language style. See
+ [Translation](https://www.assemblyai.com/docs/speech-understanding/translation)
+ for more details.
default: true
match_original_utterance:
type: boolean
- description: When enabled with Speaker Labels, returns translated text in the utterances array. Each utterance will include a `translated_texts` key containing translations for each target language.
+ description: >-
+ When enabled with Speaker Labels, returns translated text in the
+ utterances array. Each utterance will include a
+ `translated_texts` key containing translations for each target
+ language.
default: false
required:
- target_languages
required:
- translation
-
SpeakerIdentificationRequestBody:
type: object
- description: Request body for [Speaker Identification](https://www.assemblyai.com/docs/speech-understanding/speaker-identification).
+ description: >-
+ Request body for [Speaker
+ Identification](https://www.assemblyai.com/docs/speech-understanding/speaker-identification).
properties:
speaker_identification:
type: object
properties:
speaker_type:
type: string
- enum: [role, name]
- description: Type of speaker identification. See [Speaker Identification](https://www.assemblyai.com/docs/speech-understanding/speaker-identification) for details on each type.
+ enum:
+ - role
+ - name
+ description: >-
+ Type of speaker identification. See [Speaker
+ Identification](https://www.assemblyai.com/docs/speech-understanding/speaker-identification)
+ for details on each type.
known_values:
type: array
items:
type: string
- description: Required if speaker_type is "role". Each value must be 35 characters or less.
+ description: >-
+ Required if speaker_type is "role". Each value must be 35
+ characters or less.
speakers:
type: array
- description: An array of speaker objects with metadata to improve identification accuracy. Each object should include a `role` or `name` (depending on `speaker_type`) and an optional `description` to help the model identify the speaker. You can also include any additional custom properties (e.g., `company`, `title`) to provide more context. Use this as an alternative to `known_values` when you want to provide additional context about each speaker.
+ description: >-
+ An array of speaker objects with metadata to improve
+ identification accuracy. Each object should include a `role` or
+ `name` (depending on `speaker_type`) and an optional
+ `description` to help the model identify the speaker. You can
+ also include any additional custom properties (e.g., `company`,
+ `title`) to provide more context. Use this as an alternative to
+ `known_values` when you want to provide additional context about
+ each speaker.
items:
type: object
properties:
role:
type: string
- description: The role of the speaker. Required when `speaker_type` is "role".
+ description: >-
+ The role of the speaker. Required when `speaker_type` is
+ "role".
name:
type: string
- description: The name of the speaker. Required when `speaker_type` is "name".
+ description: >-
+ The name of the speaker. Required when `speaker_type` is
+ "name".
description:
type: string
- description: A description of the speaker to help the model identify them based on conversational context.
+ description: >-
+ A description of the speaker to help the model identify
+ them based on conversational context.
additionalProperties: true
required:
- speaker_type
required:
- speaker_identification
-
CustomFormattingRequestBody:
type: object
- description: Request body for [Custom Formatting](https://www.assemblyai.com/docs/speech-understanding/custom-formatting).
+ description: >-
+ Request body for [Custom
+ Formatting](https://www.assemblyai.com/docs/speech-understanding/custom-formatting).
properties:
custom_formatting:
type: object
properties:
date:
type: string
- description: Date format pattern (e.g., `"mm/dd/yyyy"`). See [Custom Formatting](https://www.assemblyai.com/docs/speech-understanding/custom-formatting) for more details.
+ description: >-
+ Date format pattern (e.g., `"mm/dd/yyyy"`). See [Custom
+ Formatting](https://www.assemblyai.com/docs/speech-understanding/custom-formatting)
+ for more details.
phone_number:
type: string
- description: Phone number format pattern (e.g., `"(xxx)xxx-xxxx"`). See [Custom Formatting](https://www.assemblyai.com/docs/speech-understanding/custom-formatting) for more details.
+ description: >-
+ Phone number format pattern (e.g., `"(xxx)xxx-xxxx"`). See
+ [Custom
+ Formatting](https://www.assemblyai.com/docs/speech-understanding/custom-formatting)
+ for more details.
email:
type: string
- description: Email format pattern (e.g., `"username@domain.com"`). See [Custom Formatting](https://www.assemblyai.com/docs/speech-understanding/custom-formatting) for more details.
+ description: >-
+ Email format pattern (e.g., `"username@domain.com"`). See
+ [Custom
+ Formatting](https://www.assemblyai.com/docs/speech-understanding/custom-formatting)
+ for more details.
required:
- custom_formatting
-
TranslationResponse:
type: object
properties:
@@ -5415,7 +5945,6 @@ components:
properties:
status:
type: string
-
SpeakerIdentificationResponse:
type: object
properties:
@@ -5424,12 +5953,13 @@ components:
properties:
mapping:
type: object
- description: A mapping of the original generic speaker labels (e.g., "A", "B") to the identified speaker names or roles.
+ description: >-
+ A mapping of the original generic speaker labels (e.g., "A",
+ "B") to the identified speaker names or roles.
additionalProperties:
type: string
status:
type: string
-
CustomFormattingResponse:
type: object
properties:
@@ -5442,16 +5972,22 @@ components:
type: string
formatted_text:
type: string
-
examples:
VttSubtitlesResponse:
- value: |
+ value: >
WEBVTT
+
00:12.340 --> 00:16.220
+
Last year I showed these two slides said that demonstrate
+
00:16.200 --> 00:20.040
- that the Arctic ice cap which for most of the last 3,000,000 years has been the
+
+ that the Arctic ice cap which for most of the last 3,000,000 years has
+ been the
+
00:20.020 --> 00:25.040
+
size of the lower 48 States has shrunk by 40% but this understates
SrtSubtitlesResponse:
value: |
@@ -5466,7 +6002,6 @@ components:
3
00:00:20,254 --> 00:00:23,274
of the lower 48 states, has shrunk by 40%.
-
responses:
BadRequest:
x-label: Bad request
@@ -5474,41 +6009,45 @@ components:
content:
application/json:
schema:
- $ref: "#/components/schemas/Error"
- example: { "error": "This is a sample error message" }
+ $ref: '#/components/schemas/Error'
+ example:
+ error: This is a sample error message
Unauthorized:
x-label: Unauthorized
description: Unauthorized
content:
application/json:
schema:
- $ref: "#/components/schemas/Error"
+ $ref: '#/components/schemas/Error'
example:
- { "error": "Authentication error, API token missing/invalid" }
+ error: Authentication error, API token missing/invalid
CannotAccessUploadedFile:
x-label: Cannot access uploaded file
description: Cannot access uploaded file
content:
application/json:
schema:
- $ref: "#/components/schemas/Error"
- example: { "error": "Cannot access uploaded file" }
+ $ref: '#/components/schemas/Error'
+ example:
+ error: Cannot access uploaded file
NotFound:
x-label: Not found
description: Not found
content:
application/json:
schema:
- $ref: "#/components/schemas/Error"
- example: { "error": "Not found" }
+ $ref: '#/components/schemas/Error'
+ example:
+ error: Not found
TooManyRequests:
x-label: Too many requests
description: Too many requests
content:
application/json:
schema:
- $ref: "#/components/schemas/Error"
- example: { "error": "Too Many Requests" }
+ $ref: '#/components/schemas/Error'
+ example:
+ error: Too Many Requests
headers:
Retry-After:
description: The number of seconds to wait before retrying the request
@@ -5520,18 +6059,18 @@ components:
content:
application/json:
schema:
- $ref: "#/components/schemas/Error"
+ $ref: '#/components/schemas/Error'
example:
- {
- "error": "Internal server error. Please retry your request. If the error persists, please contact support@assemblyai.com for more information.",
- }
+ error: >-
+ Internal server error. Please retry your request. If the error
+ persists, please contact support@assemblyai.com for more
+ information.
ServiceUnavailable:
x-label: Service unavailable
description: Service unavailable
GatewayTimeout:
x-label: Gateway timeout
description: Gateway timeout
-
securitySchemes:
ApiKey:
type: apiKey