Adversarial Training for Multi-domain Speaker Recognition

@article{Wang2021AdversarialTF,
  title={Adversarial Training for Multi-domain Speaker Recognition},
  author={Qing Wang and Wei Rao and Pengcheng Guo and Lei Xie},
  journal={2021 12th International Symposium on Chinese Spoken Language Processing (ISCSLP)},
  year={2021},
  pages={1-5}
}
  • Qing Wang, Wei Rao, Lei Xie
  • Published 17 November 2020
  • Computer Science
  • 2021 12th International Symposium on Chinese Spoken Language Processing (ISCSLP)
In real-life applications, the performance of speaker recognition systems always degrades when there is a mismatch between training and evaluation data. Many domain adaptation methods have been successfully used for eliminating the domain mismatches in speaker recognition. However, usually both training and evaluation data themselves can be composed of several subsets. These inner variances of each dataset can also be considered as different domains. Different distributed subsets in source or… 

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