Changelog/

Smarter transcript diarization

Automatic speaker detection fixes mean clearer, more accurate transcripts

Robert Nolan
Robert NolanCo-founder, Product Architect

Ever notice when a transcript accidentally labels your agent as the customer (or vice versa)? Yeah, we noticed too.

We've implemented a few changes that improves the accuracy:

  1. Continued improvement through our Diarization capabilities. Our latest training round produced scored 22.8% on the latestest CALLHOME benchmark. This is down from 28.5%.
  2. While segmentation has always been a core ability, this update brings a significant improvement to speaker assignment and counting — marking reductions in speaker confusion and overlap
  3. Conversation turn speech modeling to catch moments where there was quick replies between speakers.

Improvements

  • scorecards Deleted scorecard criteria no longer appear when filtering results—keeping your data clean and your views clutter-free.

Fixes

  • ui-ux Fixed drilling down by scorecard criteria from the explorer view
  • analysis Summarizing email threads with few exchanges
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