Using adversarial discriminative domain adaptation with unlabeled Chinese audio reduces the equal error rate of an English-trained x-vector speaker verifier from 9.331% to 7.645%.
English Corpora We use Speaker Recognition Evaluation (SRE) 04-08, Mixer 6, and Switchboard (SWBD) to train the x-vector model
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Cross-lingual Text-independent Speaker Verification using Unsupervised Adversarial Discriminative Domain Adaptation
Using adversarial discriminative domain adaptation with unlabeled Chinese audio reduces the equal error rate of an English-trained x-vector speaker verifier from 9.331% to 7.645%.