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