Definition

What Is Speaker Diarization?

VideoText editorial team. Updated September 13, 2026.

Direct definition

Speaker diarization answers “who spoke when?” It segments audio into speaker turns and assigns labels such as Speaker 1 and Speaker 2. It does not, by itself, name those people.

The sections below explain how speaker diarization is used in transcription and subtitle work, what people often mix up, and which VideoText workflow applies when the next step is a file or review pass.

Key takeaways

  • Diarization produces anonymous speaker labels, not legal identities.
  • Overlapping speech is a common failure mode.
  • Speaker labels are most useful after a review pass that names Speaker 1 and Speaker 2 from the recording.

How diarization works

The system finds change points in the audio, clusters segments that sound like the same voice, and writes a label per turn. A later human pass can rename Speaker 2 to “Maya.”

Why it matters

Interviews, meetings, and podcasts are hard to read as an unlabeled wall of text. Diarization is also a prerequisite for some caption styles that put a speaker name on each cue.

Speaker diarization vs speaker identification

Identification matches a voice to a known person or enrollment profile. Diarization only separates voices in this recording. Teams often run diarization first, then rename labels.

Related terms

Sources

  1. NIST: Speaker diarization evaluation (Rich Transcription / diarization literature hosted by NIST)

Related VideoText workflow