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author:

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

Indexed by:

CPCI-S

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.

Keyword:

colored noise combinational filter multi-channel speech enhancement

Community:

  • [ 1 ] [Xia Yousheng]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou, Peoples R China
  • [ 2 ] [Huang Jianwen]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou, Peoples R China

Reprint 's Address:

  • 夏又生

    [Xia Yousheng]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou, Peoples R China

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Source :

2014 INTERNATIONAL CONFERENCE ON AUDIO, LANGUAGE AND IMAGE PROCESSING (ICALIP), VOLS 1-2

Year: 2014

Page: 459-463

Language: English

Cited Count:

WoS CC Cited Count: 6

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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