Fast distributed multichannel speech enhancement using novel frequency domain estimators of magnitude-squared spectrum-Reference-Cited by-同舟云学术

Fast distributed multichannel speech enhancement using novel frequency domain estimators of magnitude-squared spectrum

Published:2015-09 Issue: Volume:72 Page:96-108
ISSN:0167-6393
Container-title:Speech Communication
language:en
Short-container-title:Speech Communication

Author:

Tu Jingxian,Xia Youshen

Publisher

Elsevier BV

Subject

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

Reference35 articles.

1. Speech enhancement using an adaptive wiener filtering approach;Abd El-Fattah;Org. Biomol. Chem.,2008

2. Speech Enhancement;Benesty,2005

3. On microphonearray beamforming from a MIMO acoustic signal processing perspective;Benesty;IEEE Trans. Audio Speech Lang. Process.,2007

4. Speech enhancement combining optimal smoothing and errors-in-variables identification of noisy AR processes;Bobillet;IEEE Trans. Signal Process.,2007

5. Suppression of acoustic noise in speech using spectral subtraction;Boll;IEEE Trans. Acoust. Speech Signal Process.,1979

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