CHANGELOG
Product improvements
Check out the AssemblyAI changelog to see weekly accuracy and product improvements our team has been working on.
Powering incredible companies
- Added additional MIME type detection to detect a wider variety of OPUS files.
- Fixed an issue with word timing calculations that caused issues with speaker labeling for a small number of transcripts.
- Added additional MIME type detection to detect a wider variety of OPUS files.
- Fixed an issue with word timing calculations that caused issues with speaker labeling for a small number of transcripts.
- Significantly improved the accuracy of Custom Vocabulary, and the impact of the
boost_param field to control the weight for Custom Vocabulary. - Improved precision of word timings.
- Significantly improved the accuracy of Custom Vocabulary, and the impact of the
boost_param field to control the weight for Custom Vocabulary. - Improved precision of word timings.
- 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.