New Auto Chapters, Sentiment Analysis, and Disfluencies Features Released
v1 release of Auto Chapters - which provides a "summary over time" by breaking audio/video files into "chapters" based on the topic of conversation. Check out our blog to read more about this new feature. To enable Auto Chapters in your request, you can set auto_chapters: true in your POST request to /v2/transcript.
v1 release of Sentiment Analysis - that determines the sentiment of sentences in a transcript as "positive", "negative", or "neutral". Sentiment Analysis can be enabled by including the sentiment_analysis: true parameter in your POST request to /v2/transcript.
Filler-words like "um" and "uh" can now be included in the transcription text. Simply include disfluencies: true in your POST request to /v2/transcript.
Deployed Speaker Labels version 1.3.0. Improves overall diarization/labeling accuracy.
Improved our internal auto-scaling for asynchronous transcription, to keep turnaround times consistently low during periods of high usage.
1
New Auto Chapters, Sentiment Analysis, and Disfluencies Features Released
v1 release of Auto Chapters - which provides a "summary over time" by breaking audio/video files into "chapters" based on the topic of conversation. Check out our blog to read more about this new feature. To enable Auto Chapters in your request, you can set auto_chapters: true in your POST request to /v2/transcript.
v1 release of Sentiment Analysis - that determines the sentiment of sentences in a transcript as "positive", "negative", or "neutral". Sentiment Analysis can be enabled by including the sentiment_analysis: true parameter in your POST request to /v2/transcript.
Filler-words like "um" and "uh" can now be included in the transcription text. Simply include disfluencies: true in your POST request to /v2/transcript.
Deployed Speaker Labels version 1.3.0. Improves overall diarization/labeling accuracy.
Improved our internal auto-scaling for asynchronous transcription, to keep turnaround times consistently low during periods of high usage.
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New Language Code Parameter for English Spelling
Added a new language_code parameter when making requests to /v2/transcript.
Developers can set this to en_us, en_uk, and en_au, which will ensure the correct English spelling is used - British English, Australian English, or US English (Default).
Quick note: for customers that were historically using the assemblyai_en_au or assemblyai_en_uk acoustic models, the language_code parameter is essentially redundant and doesn't need to be used.
Fixed an edge-case where some files with prolonged silences would occasionally have a single word predicted, such as "you" or "hi."
1
New Language Code Parameter for English Spelling
Added a new language_code parameter when making requests to /v2/transcript.
Developers can set this to en_us, en_uk, and en_au, which will ensure the correct English spelling is used - British English, Australian English, or US English (Default).
Quick note: for customers that were historically using the assemblyai_en_au or assemblyai_en_uk acoustic models, the language_code parameter is essentially redundant and doesn't need to be used.
Fixed an edge-case where some files with prolonged silences would occasionally have a single word predicted, such as "you" or "hi."
1
New Features Coming Soon, Bug Fixes
This week, our engineering team has been hard at work preparing for the release of exciting new features like:
Chapter Detection: Automatically summarize audio and video files into segments (aka "chapters").
Sentiment Analysis: Determine the sentiment of sentences in your transcript as "positive", "negative", or "neutral".
Disfluencies: Detects filler-words like "um" and "uh".
Improved average real-time latency by 2.1% and p99 latency by 0.06%.
Fixed an edge-case where confidence scores in the utterances category for dual-channel audio files would occasionally receive a confidence score greater than 1.0.
