A time–frequency smoothing neural network for speech enhancement

Author:

Yuan Wenhao

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modelling and Simulation,Software

Reference44 articles.

1. A phoneme-based pre-training approach for deep neural network with application to speech enhancement;Chazan,2016

2. Long short-term memory for speaker generalization in supervised speech separation;Chen;J. Acoust. Soc. Am.,2017

3. Training and compensation of class-conditioned nmf bases for speech enhancement;Chung;Neurocomputing,2018

4. Noise spectrum estimation in adverse environments: improved minima controlled recursive averaging;Cohen;IEEE Trans. Speech Audio Process.,2003

5. Speech enhancement using a minimum mean-square error log-spectral amplitude estimator;Ephraim;IEEE Trans. Acoust. Speech Signal Process.,1985

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