DocumentCode :
2976367
Title :
An Improved Technique for Blind Audio Source Separation
Author :
Cho, Namgook ; Shiu, Yu ; Kuo, C. -C Jay
Author_Institution :
University of Southern California, Los Angeles, USA
fYear :
2006
fDate :
Dec. 2006
Firstpage :
525
Lastpage :
528
Abstract :
A blind audio source separation technique with an ill-posed mixing matrix and additive noise is proposed in this work. With this technique, we divide the solution into two steps. The first step is to estimate the ill-posed mixing matrix and the second step is to separate original sources. To estimate the ill-posed mixing matrix, an enhanced soft-assignment method is used in the first step. Then, the generalized p-norm optimization method is adopted in the second step, which can yield a solution sparser than the l1-norm minimization technique. Experimental results on synthetic mixtures and real-world mixtures are used to demonstrate the efficiency of the proposed technique in the presence of an ill-posed mixing matrix and additive noise.
Keywords :
Additive noise; Blind source separation; Independent component analysis; Minimization methods; Optimization methods; Signal processing; Signal processing algorithms; Source separation; Sparse matrices; Speech;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2006. IIH-MSP '06. International Conference on
Conference_Location :
Pasadena, CA, USA
Print_ISBN :
0-7695-2745-0
Type :
conf
DOI :
10.1109/IIH-MSP.2006.265056
Filename :
4041776
Link To Document :
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