DocumentCode :
1798676
Title :
Speech enhancement based on combination of wiener filter and subspace filter
Author :
Xia Yousheng ; Huang Jianwen
Author_Institution :
Coll. of Math. & Comput. Sci., Fuzhou Univ., Fuzhou, China
fYear :
2014
fDate :
7-9 July 2014
Firstpage :
459
Lastpage :
463
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.
Keywords :
Wiener filters; combinatorial mathematics; convex programming; filtering theory; signal denoising; speech enhancement; Wiener filtering technology; colored noise removal; convex combinational coefficient; multichannel speech enhancement method; noise reduction; noisy speech signals; subspace filtering; subspace speech enhancement technology; Microphones; Noise; Noise measurement; Speech; Speech enhancement; Wiener filters; colored noise; combinational filter; multi-channel speech enhancement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Audio, Language and Image Processing (ICALIP), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-3902-2
Type :
conf
DOI :
10.1109/ICALIP.2014.7009836
Filename :
7009836
Link To Document :
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