• Corpus ID: 25742153

Speech enhancement with weighted denoising auto-encoder

@inproceedings{Xia2013SpeechEW,
  title={Speech enhancement with weighted denoising auto-encoder},
  author={Bingyin Xia and Chang-chun Bao},
  booktitle={INTERSPEECH},
  year={2013}
}
A novel speech enhancement method with Weighted Denoising Auto-encoder (WDA) is proposed in this paper. [] Key Method First, the proposed WDA is used to model the relationship between the noisy and clean power spectrums of speech signal. Then, the estimated clean power spectrum is used in the a Posteriori SNR Controlled Recursive Averaging (PCRA) approach for the estimation of the a priori SNR. Finally, the enhanced speech is obtained by Wiener filter operating in the frequency domain. From the test results…
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57 Citations

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