Speaker Diarization identifies and separates different speakers within an audio recording or live conversation. It determines who spoke and when, without necessarily identifying each person's identity.
Voice AI platforms apply Diarization after speech recognition or alongside transcription. It improves meeting summaries, call analytics, conversation intelligence, and customer support by attributing speech to the correct speaker.