Diarization: Difference between revisions
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''Speaker diarisation'' (or ''diarization''), or s''peaker separation'' is the process of partitioning an input audio stream into homogeneous segments according to the speaker identity. It can enhance the readability of an automatic speech transcription by structuring the audio stream into speaker turns and, when used together with speaker recognition systems, by providing the speaker’s true identity. | ''[[Speaker]] diarisation''<ref>https://en.wikipedia.org/wiki/Speaker_diarisation</ref> (or ''diarization''), or s''peaker separation'' is the process of partitioning an input audio stream into homogeneous segments according to the speaker identity. It can enhance the readability of an automatic speech transcription by structuring the audio stream into speaker turns and, when used together with speaker recognition systems, by providing the speaker’s true identity. | ||
== References == | |||
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[[Category:STT]] | |||
Latest revision as of 17:00, 5 December 2021
Speaker diarisation[1] (or diarization), or speaker separation is the process of partitioning an input audio stream into homogeneous segments according to the speaker identity. It can enhance the readability of an automatic speech transcription by structuring the audio stream into speaker turns and, when used together with speaker recognition systems, by providing the speaker’s true identity.