Corpus ID: 237634970

Parameterized Channel Normalization for Far-field Deep Speaker Verification

@article{Liu2021ParameterizedCN,
  title={Parameterized Channel Normalization for Far-field Deep Speaker Verification},
  author={Xuechen Liu and Md. Sahidullah and Tomi H. Kinnunen},
  journal={ArXiv},
  year={2021},
  volume={abs/2109.12056}
}
We address far-field speaker verification with deep neural network (DNN) based speaker embedding extractor, where mismatch between enrollment and test data often comes from convolutive effects (e.g. room reverberation) and noise. To mitigate these effects, we focus on two parametric normalization methods: per-channel energy normalization (PCEN) and parameterized cepstral mean normalization (PCMN). Both methods contain differentiable parameters and thus can be conveniently integrated to, and… Expand

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References

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