Paper

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)

Results in Papers With Code
(↓ scroll down to see all results)