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4. Toward Better Speaker Embeddings: Automated Collection Of Speech Samples From Unknown Distinct Speakers

Toward Better Speaker Embeddings: Automated Collection Of Speech Samples From Unknown Distinct Speakers

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IEEE ICASSP 2020 Virtual Conference May 2020

The accuracy of speaker verification and diarization models depends on the quality of the speaker embeddings used to separate audio samples from different speakers. With the goal of training better embedding models, we devise an au- tomatic pipeline for l

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Toward Better Speaker Embeddings: Automated Collection Of Speech Samples From Unknown Distinct Speakers

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The accuracy of speaker verification and diarization models depends on the quality of the speaker embeddings used to separate audio samples from different speakers. With the goal of training better embedding models, we devise an au- tomatic pipeline for l