DropClass and DropAdapt: Dropping classes for deep speaker representation learning

Many recent works on deep speaker embeddings train their feature extraction networks on large classification tasks, distinguishing between all speakers in a training set. Empirically, this has been shown to produce speaker-discriminative embeddings, even for unseen speakers... (read more)

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