Adapting a VAE normalization model on out-of-domain x-vectors improved speaker verification EER from 18.51% to 12.73% on a small proprietary test set.
Deep neural networks for small footprint text-dependent speaker verification,
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VAE-based Domain Adaptation for Speaker Verification
Adapting a VAE normalization model on out-of-domain x-vectors improved speaker verification EER from 18.51% to 12.73% on a small proprietary test set.