DocumentCode
2455533
Title
A weighted multichannel Wiener filter for multiple sources scenarios
Author
Markovich-Golan, Shmulik ; Gannot, Sharon ; Cohen, Israel
Author_Institution
Fac. of Eng., Bar-Ilan Univ., Ramat-Gan, Israel
fYear
2012
fDate
14-17 Nov. 2012
Firstpage
1
Lastpage
5
Abstract
The scenario of P speakers received by an M microphone array in a reverberant enclosure is considered. We extend the single source speech distortion weighted multichannel Wiener filter (SDW-MWF) to deal with multiple speakers. The mean squared error (MSE) is extended by introducing P weights, each controlling the distortion of one of the sources. The P weights enable further control in the design of the beamformer (BF). Two special cases of the proposed BF are the SDW-MWF and the linearly constrained minimum variance (LCMV)-BF. We provide a theoretical analysis for the performance of the proposed BF. Finally, we exemplify the ability of the proposed method to control the tradeoff between noise reduction (NR) and distortion levels of various speakers in an experimental study.
Keywords
Wiener filters; array signal processing; distortion; interference suppression; mean square error methods; microphone arrays; speaker recognition; BF; M microphone array; MSE; SDW-MWF; beamformer design; distortion levels; mean squared error; multiple source scenario; multiple speakers; noise reduction; single source speech distortion weighted multichannel Wiener filter; Acoustic distortion; Approximation methods; Covariance matrix; Matrices; Microphones; Noise; Speech;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical & Electronics Engineers in Israel (IEEEI), 2012 IEEE 27th Convention of
Conference_Location
Eilat
Print_ISBN
978-1-4673-4682-5
Type
conf
DOI
10.1109/EEEI.2012.6376958
Filename
6376958
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