Blind Source Separation Combining Frequency-Domain ICA and Beamforming


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Title:	Blind Source Separation Combining Frequency-Domain ICA and Beamforming
Authors:	Hiroshi Saruwatari Satoshi Kurita Kazuya Takeda
Issue Date:	May-2001
Publisher:	IEEE
Start page:	2733
End page:	2736
Abstract:	We describe a new method of blind source separation (BSS) on a microphone array combining subband independent component analysis (ICA) and beamforming. The proposed array system consists of the following three sections: (1) subband-ICA-based BSS section with direction-of-arrival (DOA) estimation; (2) null beamforming section based on the estimated DOA information; and (3) integration of (1) and (2) based on the algorithm diversity. Using this technique, we can resolve the low-convergence problem through optimization in ICA. The results of the signal separation experiments reveal that a noise reduction rate (NRR) of about 18 dB is obtained under the nonreverberant condition, and NRR of 8 dB and 6 dB are obtained in the case that the reverberation times are 150 msec and 300 msec. These performances are superior to those of both simple ICA-based BSS and simple beamforming method
Description:	ICASSP2001: IEEE International Conference on Acoustics, Speech and Signal Processing, May 7-11, 2001, Salt Lake City, Utah, US.
URI:	http://hdl.handle.net/10061/8036
ISBN:	0780370414
ISSN:	1520-6149
Rights:	Copyright 2001 IEEE
Text Version:	Publisher
Publisher DOI:	10.1109/ICASSP.2001.940211
Appears in Collections:	情報科学研究科 / Graduate School of Information Science

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