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