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Cosine similarity-based adversarial process
In particular, the adversarial process degrades the performance of the subsidiary model by eliminating the subsidiary information in the input which, in assumption, may degrade the performance of the primary model.
End-to-end losses based on speaker basis vectors and all-speaker hard negative mining for speaker verification
Each speaker basis is designed to represent the corresponding speaker in the process of training deep neural networks.
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