Home › Learn › What Is Speaker Diarization? — Definition and How It Works
Speaker diarization is the process of automatically identifying and separating different speakers in an audio recording. It answers the question 'who spoke when?' — labelling each segment of speech with the speaker who said it.
How speaker diarization works
The AI analyses the audio and detects changes in voice characteristics
Each distinct voice is assigned a label (Speaker A, Speaker B, etc.)
The transcript is divided into segments by speaker
You can rename speakers to their actual names
Modern AI achieves high accuracy even with similar-sounding voices
Speaker diarization in Talk2Memo
Talk2Memo automatically identifies speakers in every recording. Each utterance is labelled with the speaker who said it. You can rename speakers to their actual names, and the labels are applied consistently throughout the transcript.
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