Abstract: Contrastive learning across various augmentations of the same utterance can enhance speaker representations’ ability to distinguish new speakers. This paper introduces a supervised ...
Abstract: Fault diagnosis (FD) techniques leveraging self-supervised contrastive learning (SSCL) have demonstrated significant potential in industrial scenarios due to their reduced dependence on ...
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