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

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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