Wiener filtering based speech enhancement with Weighted Denoising Auto-encoder and noise classification

@article{Xia2014WienerFB,
  title={Wiener filtering based speech enhancement with Weighted Denoising Auto-encoder and noise classification},
  author={Bingyin Xia and Changchun Bao},
  journal={Speech Commun.},
  year={2014},
  volume={60},
  pages={13-29}
}
  • Bingyin Xia, Changchun Bao
  • Published 2014
  • Computer Science
  • Speech Commun.
  • Abstract A novel speech enhancement method based on Weighted Denoising Auto-encoder (WDA) and noise classification is proposed in this paper. A weighted reconstruction loss function is introduced into the conventional Denoising Auto-encoder (DA), and the relationship between the power spectra of clean speech and noisy observation is described by WDA model. First, the sub-band power spectrum of clean speech is estimated by WDA model from the noisy observation. Then, the a priori SNR is estimated… CONTINUE READING
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