DocumentCode
311410
Title
Blind separation of multiple speakers in a multipath environment
Author
Lambert, Russell H. ; Bell, Anthony J.
Author_Institution
TRW Space & Electron. Group, Redondo Beach, CA, USA
Volume
1
fYear
1997
fDate
21-24 Apr 1997
Firstpage
423
Abstract
We relate information theoretic blind learning methods (infomax) and Bussgang blind equalization methods. The multipath extension of blind source separation methods can be seen in the frequency domain using FIR matrix algebra (matrices of finite impulse response filters). Three forms of Bussgang algorithms are given. The blind serial update method of Cardoso and Laheld (1994) is related to the infomax objective of Bell and Sejnowski (1995). The application emphasis is on speech separation. We demonstrate the robustness and power of the new techniques by blindly separating speech signals recorded in a multipath environment
Keywords
FIR filters; acoustic signal processing; equalisers; frequency-domain analysis; information theory; matrix algebra; multipath channels; speech processing; Bussgang blind equalization methods; FIR matrix algebra; blind learning methods; blind separation; blind serial update method; blind source separation methods; finite impulse response filters; frequency domain; infomax; infomax objective; multipath environment; multiple speakers; robustness; speech separation; Approximation algorithms; Blind equalizers; Cost function; Finite impulse response filter; Frequency domain analysis; Least squares approximation; Linear systems; Matrices; Speech; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location
Munich
ISSN
1520-6149
Print_ISBN
0-8186-7919-0
Type
conf
DOI
10.1109/ICASSP.1997.599665
Filename
599665
Link To Document