DocumentCode :
3673319
Title :
Speech dereverberation in multisource environment using LCMV filter
Author :
Karan Nathwani;Rajesh M. Hegde
Author_Institution :
Department of Electrical Engineering, Indian Institute of Technology Kanpur, India
fYear :
2014
Firstpage :
404
Lastpage :
409
Abstract :
In this paper, a novel multi channel speech dereverberation method in a multisource environment is proposed. The primary contribution of this work is the utilization of a multi channel linearly constrained minimum variance (LCMV) filter for speech dereverberation in the presence of multiple sources. An initial estimate of the desired speaker signal is obtained using a sparse matrix structure obtained herein. A multi channel LCMV filter is then used to obtain the final estimates of the desired signal by applying constraints on both early and late part of individual frames of the short term speech signal. Experiments on speech dereverberation and distant speech recognition are conducted at various direct to reverberant ratios to evaluate the performance of the proposed method. Performance improvements are noticable when compared to other multi channel speech dereverberation methods in the literature.
Keywords :
"Speech","Decision support systems","Estimation","Microphones","Loudspeakers"
Publisher :
ieee
Conference_Titel :
Signal Processing and Information Technology (ISSPIT), 2014 IEEE International Symposium on
ISSN :
2162-7843
Type :
conf
DOI :
10.1109/ISSPIT.2014.7300623
Filename :
7300623
Link To Document :
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