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CHANGELOG

Product improvements

Check out the AssemblyAI changelog to see weekly accuracy and product improvements our team has been working on.

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1

Miscellaneous Bug Fixes

  • Fixed a rare edge case affecting audio duration calculation of a small percentage of multi-channel files that contained no speech.
  • Miscellaneous bug fixes for Real-Time Transcription.

1

Webhook Status Codes, Entity Detection Improved

  • POST requests from the API to webhook URLs will now accept any status code from 200 to 299 as a successful HTTP response. Previously only 200 status codes were accepted.
  • Updated the text key in our Entity Detection feature to return the proper noun rather than the possessive noun. For example, Andrew instead of Andrew’s.

  • Fixed an edge case with Entity Detection where under certain contexts, a disfluency could be identified as an entity.

1

Webhook Status Codes, Entity Detection Improved

  • POST requests from the API to webhook URLs will now accept any status code from 200 to 299 as a successful HTTP response. Previously only 200 status codes were accepted.
  • Updated the text key in our Entity Detection feature to return the proper noun rather than the possessive noun. For example, Andrew instead of Andrew’s.

  • Fixed an edge case with Entity Detection where under certain contexts, a disfluency could be identified as an entity.

1

Punctuation and Casing Accuracy Improved, Inverse Text Normalization Model Updated

  • Released v4 of our Punctuation model, increasing punctuation and casing accuracy by ~2%.
  • Updated our Inverse Text Normalization (ITN) model for our /v2/transcript endpoint, improving web address and email address formatting and fixing the occasional number formatting issue.

  • Fixed an edge case where multi-channel files would return no text when the two channels were out of phase with each other.

1

Punctuation and Casing Accuracy Improved, Inverse Text Normalization Model Updated

  • Released v4 of our Punctuation model, increasing punctuation and casing accuracy by ~2%.
  • Updated our Inverse Text Normalization (ITN) model for our /v2/transcript endpoint, improving web address and email address formatting and fixing the occasional number formatting issue.

  • Fixed an edge case where multi-channel files would return no text when the two channels were out of phase with each other.