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Support for Non-English Languages Coming Soon
- Our Deep Learning team has been hard at work training our new non-English language models. In the coming weeks, we will be adding support for French, German, Italian, and Spanish.
Product improvements
Check out the AssemblyAI changelog to see weekly accuracy and product improvements our team has been working on.
Powering incredible companies
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Shorter Summaries Added to Auto Chapters, Improved Filler Word Detection
- Added a new
gistkey to the Auto Chapters feature. This new key provides an ultra-short, usually 3 to 8 word summary of the content spoken during that chapter.
- Implemented profanity filtering into Auto Chapters, which will prevent the API from generating a
summary,headline, orgistthat includes profanity. - Improved Filler Word (aka, disfluencies) detection by ~5%.
- Improved accuracy for Real-Time Streaming Transcription.
- Fixed an edge case where WebSocket connections for Real-Time Transcription sessions would occasionally not close properly after the session was terminated. This resulted in the client receiving a 4031 error code even after sending a session termination message.
- Corrected a bug that occasionally attributed disfluencies to the wrong utterance when Speaker Labels or Dual-Channel Transcription was enabled.
1
Shorter Summaries Added to Auto Chapters, Improved Filler Word Detection
- Added a new
gistkey to the Auto Chapters feature. This new key provides an ultra-short, usually 3 to 8 word summary of the content spoken during that chapter.
- Implemented profanity filtering into Auto Chapters, which will prevent the API from generating a
summary,headline, orgistthat includes profanity. - Improved Filler Word (aka, disfluencies) detection by ~5%.
- Improved accuracy for Real-Time Streaming Transcription.
- Fixed an edge case where WebSocket connections for Real-Time Transcription sessions would occasionally not close properly after the session was terminated. This resulted in the client receiving a 4031 error code even after sending a session termination message.
- Corrected a bug that occasionally attributed disfluencies to the wrong utterance when Speaker Labels or Dual-Channel Transcription was enabled.
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v8.5 Asynchronous Transcription Model Released
- Our Asynchronous Speech Recognition model is now even better with the release of v8.5.
- This update improves overall accuracy by 4% relative to our v8 model.
- This is achieved by improving the model’s ability to handle noisy or difficult-to-decipher audio.
- The v8.5 model also improves Inverse Text Normalization for numbers.
1
v8.5 Asynchronous Transcription Model Released
- Our Asynchronous Speech Recognition model is now even better with the release of v8.5.
- This update improves overall accuracy by 4% relative to our v8 model.
- This is achieved by improving the model’s ability to handle noisy or difficult-to-decipher audio.
- The v8.5 model also improves Inverse Text Normalization for numbers.