Robust Low Rate Speech Coding Based on Cloned Networks and Wavenet

@article{Lim2020RobustLR,
  title={Robust Low Rate Speech Coding Based on Cloned Networks and Wavenet},
  author={Felicia S. C. Lim and W. Kleijn and Michael Chinen and Jan Skoglund},
  journal={ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2020},
  pages={6769-6773}
}
  • Felicia S. C. Lim, W. Kleijn, J. Skoglund
  • Published 1 May 2020
  • Computer Science
  • ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Rapid advances in machine-learning based generative modeling of speech make its use in speech coding attractive. However, the current performance of such models drops rapidly with noise contamination of the input, preventing use in practical applications. We present a new speech-coding scheme that is based on features that are robust to the distortions occurring in speech-coder input signals. To this purpose, we encourage the feature encoder to provide the same independent features for each of… 

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