speaker-id

To fix incorrect speaker labels in a Zoom or Otter transcript, this Skill rebuilds the true participant roster and maps generic labels to real names. It repairs fragmented attribution and side-conversation bleed without altering the spoken words.

Yes, you can clean up meeting notes with generic Speaker 1 and Speaker 2 tags. This Skill performs content-based speaker mapping to replace unreliable transcription labels with accurate participant names.

No, this speaker identification tool does not change the original transcript wording. It completely preserves the spoken text while applying roster reconstruction and correcting the speaker attribution errors.

The best way to prepare messy transcripts for downstream analysis is to run diarization correction. This Skill flags attribution ambiguity and outputs a corrected transcript with a speaker map and confidence note.

Yes, you can use this to relabel speakers in Granola meeting transcripts. It handles fragmented labels and swapped speakers from transcription tools like Granola, Otter, and Zoom to ensure accurate records.

You should flag ambiguity during transcript diarization repair when content-based speaker mapping cannot confidently identify the true participant. This Skill outputs a confidence note to highlight any uncertain attribution.