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Current speech enhancement techniques operate on the spectral domain and/or exploit some higher-level feature.
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2008
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Y. Xu, J. Du, L.-R. Dai, and C.-H. Lee, “A regression approach to speech enhancement based on deep neural networks,”
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A. Kumar and D. Florencio, “Speech enhancement in multiple-noise conditions using deep neural networks,” in
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P. C. Loizou,
2013
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2013
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2013
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2014
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F. Weninger, H. Erdogan, S. Watanabe, E. Vincent, J. Le Roux, J. R. Hershey, and B. Schuller, “Speech enhancement with LSTM recurrent neural networks and its application to noise-robust ASR,” in
2015
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C. Valentini-Botinhao, X. Wang, S. Takaki, and J. Yamagishi, “Investigating rnn-based speech enhancement methods for noise-robust text-to-speech,” in
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X. Mao, Q. Li, H. Xie, R. Y. K. Lau, and Z. Wang, “Least squares generative adversarial networks,” ArXiv: 1611.04076, 2016
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