Partial Auc Optimization Based Deep Speaker Embeddings With Class-Center Learning For Text-Independent Speaker Verification

Deep embedding based text-independent speaker verification has demonstrated superior performance to traditional methods in many challenging scenarios. Its loss functions can be generally categorized into two classes, i.e., verification and identification.
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