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author:

Yousheng, Xia (Yousheng, Xia.) [1] (Scholars:夏又生) | Jianwen, Huang (Jianwen, Huang.) [2]

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EI Scopus

Abstract:

This paper propose a novel multi-channel speech enhancement method by combining the wiener filtering and subspace filtering with a convex combinational coefficient. Because of using both the advantage in noise reduction of the subspace speech enhancement technology and the stable characteristic of the Wiener filtering technology, the proposed multi-channel speech enhancement method has a better performance in robustly removing colored noise from noisy speech signals. Simulation examples confirm that under different colored noise, the proposed multi-channel speech enhancement method can obtain better speech recovery results than the traditional subspace multi-channel speech enhancement method and the multi-channel Wiener filter speech enhancement method. © 2014 IEEE.

Keyword:

Image processing Speech enhancement White noise

Community:

  • [ 1 ] [Yousheng, Xia]College of Math. and Computer Science, Fuzhou University, Fuzhou, China
  • [ 2 ] [Jianwen, Huang]College of Math. and Computer Science, Fuzhou University, Fuzhou, China

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Year: 2014

Page: 459-463

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 9

ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 0

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