60 citations · 170 across the 14 of their papers we have counts for
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cs.SD2020
Leveraging speaker attribute information using multi task learning for speaker verification and diarization
Chau Luu, Peter Bell, Steve Renals
Deep speaker embeddings have become the leading method for encoding speaker identity in speaker recognition tasks. The embedding space should ideally capture the variations between…
cs.SD2020★ 1 cited
DropClass and DropAdapt: Dropping classes for deep speaker representation learning
Chau Luu, Peter Bell, Steve Renals
Many recent works on deep speaker embeddings train their feature extraction networks on large classification tasks, distinguishing between all speakers in a training set. Empirical…
cs.SD2019
Channel adversarial training for speaker verification and diarization
Chau Luu, Peter Bell, Steve Renals
Previous work has encouraged domain-invariance in deep speaker embedding by adversarially classifying the dataset or labelled environment to which the generated features belong. We…