Diarization is the process of identifying distinct speakers within an audio recording, answering "who spoke when." This technology segments conversations, grouping utterances by voice characteristics. It's crucial for transcribing meetings, call center analytics, and enhancing accessibility. Beneficiaries include journalists, legal professionals, and customer service teams seeking structured, searchable dialogue from raw audio files.
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