Single-Channel Online Enhancement of Speech Corrupted by Reverberation and Noise

@article{Doire2017SingleChannelOE,
  title={Single-Channel Online Enhancement of Speech Corrupted by Reverberation and Noise},
  author={Clement S. J. Doire and Mike Brookes and Patrick A. Naylor and Christopher M. Hicks and Dave Betts and Mohammad A. Dmour and S\oren Holdt Jensen},
  journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing},
  year={2017},
  volume={25},
  pages={572-587}
}
This paper proposes an online single-channel speech enhancement method designed to improve the quality of speech degraded by reverberation and noise. Based on an autoregressive model for the reverberation power and on a hidden Markov model for clean speech production, a Bayesian filtering formulation of the problem is derived and online joint estimation of the acoustic parameters and mean speech, reverberation, and noise powers is obtained in mel-frequency bands. From these estimates, a real… CONTINUE READING

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