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Discriminative Speaker Representation via Contrastive Learning with Class-Aware Attention in Angular Space
The challenges in applying contrastive learning to speaker verification (SV) are that the softmax-based contrastive loss lacks discriminative power and that the hard negative pairs can easily influence learning.
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