Speaker Diarization in Audio and Video Transcripts

What is speaker diarization?

Speaker diarization separates a recording by voice and labels segments such as Speaker A and Speaker B. It answers “who spoke when”; it does not automatically know a person's real name.

Enable speaker labels when transcribing interviews, meetings, podcasts, or panels. After processing, replace generic labels with names only when you can verify the identity from the recording and context.

Where labels can fail

Overlapping speech, similar voices, very short interjections, background speakers, poor microphones, and long gaps can produce incorrect boundaries. A single speaker may occasionally be split into two labels, or two people may be merged.

Review every change of speaker before publishing a quotation or meeting record. Keep timestamps so a reader or editor can return to the source. For confidential discussions, confirm recording consent and data-handling requirements before upload.

Apply this workflow to interview transcription or meeting transcription.