Glossary
Diarization
Quick answer
Identifying who spoke when in an audio recording, separating speakers into labeled turns.
It turns a transcript into a readable conversation between an agent and customer, for example.
Speaker labels are usually replaced with roles before sharing.
Why Diarization matters when licensing company data to AI
Diarization identifies who spoke when in an audio recording, separating speakers into labeled turns. It turns a transcript into a readable conversation, such as one between an agent and a customer. Before records are shared, speaker labels are usually replaced with roles, so no spoken name is tied to an identifiable individual.
- 01Your work records
- 02Personal details removed
- 03You approve the release
- 04Licensed to AI developers
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