Speaker Diarization

Speaker diarization is a feature that, when transcribing a recording with multiple people talking, tags each voice with a different label to show who said what. If you transcribe a meeting as-is, it's easy to lose track of who said what — this works like marking each speaker's lines with a different colored pen in the meeting minutes.

What this feature actually does, though, is just group speech by acoustic characteristics like pitch and tone, labeling them 'Speaker 1', 'Speaker 2', and so on. It doesn't identify the actual name of the person speaking. As long as the same person keeps talking, the same label stays attached; when a different voice comes in, a new label appears.

It's especially useful in tools that convert meeting recordings or interview files into text. With speaker diarization, the work of organizing a transcript by speaker becomes much easier.

The article explains that "for pre-recorded audio, it can distinguish and label up to three speakers, and attaches timing information to each individual word." One easy point of confusion here is that speaker diarization doesn't identify the actual identity of the people involved. The system only distinguishes voices as 'Speaker 1', 'Speaker 2', and so on based on vocal characteristics — it doesn't tell you whose voice it actually is.

If you have a transcription tool that supports speaker diarization, you can check it out like this.

1. Prepare a short recording where two or three people speak in turn (a meeting or interview recording will do).
2. Upload that file to a speech-to-text tool that has speaker diarization.
3. Check whether the resulting transcript labels each utterance with tags like 'Speaker 1', 'Speaker 2', and so on.
4. Notice whether the same label stays consistent when the same person speaks again, and whether labels get confused during overlapping speech or noisy segments — this will help you see the feature's limitations as well.