Contrastive Speaker Representation Learning with Hard Negative Sampling for Speaker Recognition
Changhwan Go,
Young Han Lee,
Taewoo Kim
et al.
Abstract:Speaker recognition is a technology that identifies the speaker in an input utterance by extracting speaker-distinguishable features from the speech signal. Speaker recognition is used for system security and authentication; therefore, it is crucial to extract unique features of the speaker to achieve high recognition rates. Representative methods for extracting these features include a classification approach, or utilizing contrastive learning to learn the speaker relationship between representations and then… Show more
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