2020
Channel Adversarial Training for Speaker Verification and Diarization
ICASSP 2020accepted
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 propose a training strategy which aims to produce features that are invariant at the granularity of the recording or ch…