Deep learning for minimum mean-square error approaches to speech enhancement-Reference-Cited by-同舟云学术

Deep learning for minimum mean-square error approaches to speech enhancement

Published:2019-08 Issue: Volume:111 Page:44-55
ISSN:0167-6393
Container-title:Speech Communication
language:en
Short-container-title:Speech Communication

Author:

Nicolson Aaron^ORCID,Paliwal Kuldip K.

Publisher

Elsevier BV

Subject

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

Reference58 articles.

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3. Ba, J. L., Kiros, J. R., Hinton, G. E., 2016. Layer normalization. 1607.06450.

4. A novel a priori SNR estimation approach based on selective cepstro-temporal smoothing;Breithaupt,2008

5. Elimination of the musical noise phenomenon with the Ephraim and Malah noise suppressor;Cappe;IEEE Trans. Speech Audio Process.,1994

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