DocumentCode :
835965
Title :
Blind source separation based on a fast-convergence algorithm combining ICA and beamforming
Author :
Saruwatari, Hiroshi ; Kawamura, Toshiya ; Nishikawa, Tsuyoki ; Lee, Akinobu ; Shikano, Kiyohiro
Author_Institution :
Graduate Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Japan
Volume :
14
Issue :
2
fYear :
2006
fDate :
3/1/2006 12:00:00 AM
Firstpage :
666
Lastpage :
678
Abstract :
We propose a new algorithm for blind source separation (BSS), in which independent component analysis (ICA) and beamforming are combined to resolve the slow-convergence problem through optimization in ICA. The proposed method consists of the following three parts: (a) frequency-domain ICA with direction-of-arrival (DOA) estimation, (b) beamforming based on the estimated DOA, and (c) integration of (a) and (b) based on the algorithm diversity in both iteration and frequency domain. The unmixing matrix obtained by ICA is temporally substituted by the matrix based on beamforming through iterative optimization, and the temporal alternation between ICA and beamforming can realize fast- and high-convergence optimization. The results of the signal separation experiments reveal that the signal separation performance of the proposed algorithm is superior to that of the conventional ICA-based BSS method, even under reverberant conditions.
Keywords :
acoustic signal processing; array signal processing; blind source separation; direction-of-arrival estimation; frequency-domain analysis; independent component analysis; iterative methods; DOA; ICA; acoustic signals; beamforming; blind source separation; direction-of-arrival estimation; frequency domain; independent component analysis; iterative optimization; Array signal processing; Blind source separation; Direction of arrival estimation; Diversity reception; Frequency domain analysis; Frequency estimation; Independent component analysis; Iterative algorithms; Matrices; Source separation; Beamforming; blind source separation; independent component analysis; microphone array;
fLanguage :
English
Journal_Title :
Audio, Speech, and Language Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1558-7916
Type :
jour
DOI :
10.1109/TSA.2005.855832
Filename :
1597269
Link To Document :
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