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Speech enhancement is a task to improve the intelligibility and perceptual quality of degraded speech signal.
“Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator,”
Y. Ephraim and D. Malah, · 1984
Earlier work this paper cites.
Objective measures of speech quality
S. R. Quackenbush, T. P. Barnwell, and M. A. Clements, · 1988
Earlier work this paper cites.
“TIMIT acoustic phonetic continuous speech corpus,”
J. S. Garofolo, · 1993
Earlier work this paper cites.
“Speech enhancement based on a priori signal to noise estimation,”
P. Scalart and J. V. Filho, · 1996
Earlier work this paper cites.
“Perceptual evaluation of speech quality (PESQ): An objective method for end-to-end speech quality assessment of narrow-band telephone networks and speech codecs,”
ITU-T Recommendation, · 2001
Earlier work this paper cites.
“Evaluation of objective quality measures for speech enhancement,”
Y. Hu and P. C. Loizou, · 2007
Earlier work this paper cites.
Speech Enhancement: Theory and Practice
P. C. Loizou, · 2013
Earlier work this paper cites.
“Supervised and unsupervised speech enhancement using nonnegative matrix factorization,”
N. Mohammadiha, P. Smaragdis, and A. Leijon, · 2013
Earlier work this paper cites.
“Speech enhancement based on deep denoising autoencoder.,”
X. Lu, Y. Tsao, S. Matsuda, and C. Hori, · 2013
Earlier work this paper cites.
“DEMAND: a collection of multi-channel recordings of acoustic noise in diverse environments,”
J. Thiemann, N. Ito, and E. Vincent, · 2013
Earlier work this paper cites.
“The voice bank corpus: Design, collection and data analysis of a large regional accent speech database,”
C. Veaux, J. Yamagishi, and S. King, · 2013
Cited alongside, same era.
“A regression approach to speech enhancement based on deep neural networks,”
Y. Xu, J. Du, L. Dai, and C. Lee, · 2014
Cited alongside, same era.
“Speech enhancement with LSTM recurrent neural networks and its application to noise-robust ASR,”
F. Weninger, H. Erdogan, S. Watanabe, E. Vincent, J. Le Roux, J. R. Hershey, and B. Schuller, · 2015
Cited alongside, same era.
“Adam: A method for stochastic optimization,”
D. P. Kingma and J. Ba, · 2015
Cited alongside, same era.
“Snr-aware convolutional neural network modeling for speech enhancement.,”
S. Fu, Y. Tsao, and X. Lu, · 2016
Cited alongside, same era.
“A fully convolutional neural network for speech enhancement,”
“A wavenet for speech denoising,”
D. Rethage, J. Pons, and X. Serra, · 2018
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“Exploring speech enhancement with generative adversarial networks for robust speech recognition,”
C. Donahue, B. Li, and R. Prabhavalkar, · 2018
Later among the works it cites.
“Improved speech enhancement with the wave-u-net,”
C. Macartney and T. Weyde, · 2018
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“Conv-TasNet: Surpassing ideal time–frequency magnitude masking for speech separation,”
Y. Luo and N. Mesgarani, · 2019
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“TCNN: Temporal convolutional neural network for real-time speech enhancement in the time domain,”
A. Pandey and D. Wang, · 2019
Later among the works it cites.
“Unsupervised sound separation using mixture invariant training,”
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S. R. Park and J. Lee, · 2017
Cited alongside, same era.
“SEGAN: Speech enhancement generative adversarial network,”
S. Pascual, A. Bonafonte, and J. Serra, · 2017
Cited alongside, same era.
“Audio set: An ontology and human-labeled dataset for audio events,”
J. F. Gemmeke, D. P. W. Ellis, D. Freedman, A. Jansen, W. Lawrence, R. C. Moore, M. Plakal, and M. Ritter, · 2017
Cited alongside, same era.
“Singing voice separation with deep u-net convolutional networks,”
A. Jansson, E. Humphrey, N. Montecchio, R. Bittner, A. Kumar, and T. Weyde, · 2017
Cited alongside, same era.
Scott Wisdom, Efthymios Tzinis, Hakan Erdogan, Ron J Weiss, Kevin Wilson, and John R Hershey, · 2020
Later among the works it cites.
“Unsupervised speech separation using mixtures of mixtures,”
Scott Wisdom, Efthymios Tzinis, Hakan Erdogan, Ron J Weiss, Kevin Wilson, and John R Hershey, · 2020
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“Panns: Large-scale pretrained audio neural networks for audio pattern recognition,”
Qiuqiang Kong, Yin Cao, Turab Iqbal, Yuxuan Wang, Wenwu Wang, and Mark D Plumbley, · 2020
Later among the works it cites.
“Source separation with weakly labelled data: An approach to computational auditory scene analysis,”
Q. Kong, Y. Wang, X. Song, Y. Cao, W. Wang, and M. D. Plumbley, · 2020
Later among the works it cites.