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Speaker Diarization

[ˈspiːkər ˌdaɪəraɪˈzeɪʃən]
Natural Language Processing
Last updated: December 9, 2024

Definition

Technology that separates and identifies different speakers in an audio stream.

Detailed Explanation

Process of partitioning an audio stream into homogeneous segments according to speaker identity. Uses clustering algorithms and speaker embeddings to determine who spoke when in a conversation.

Use Cases

Meeting transcription, multi-speaker analytics, broadcast content analysis, legal transcription services

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