Blind Audio Source Separation based on Independent Component Analysis

Prof. Shoji Makino (University of Tsukuba, Japan)

DATE: 2009-11-16
TIME: 11:00:00 - 12:00:00
LOCATION: RSISE Seminar Room, ground floor, building 115, cnr. North and Daley Roads, ANU

ABSTRACT:
This talk describes a state-of-the-art method for the blind source separation (BSS) of convolutive mixtures of audio signals, especially speech. A statistical and computational technique, called independent component analysis (ICA), is examined. We provide examples to show how ICA criteria change as the number of audio sources increases. By achieving nonlinear decorrelation, nonstationary decorrelation, or time-delayed decorrelation, we can find source signals only from observed mixed signals. We then discuss a frequency-domain approach where simple instantaneous ICA is employed in each frequency bin. Particular attention is paid to the physical interpretation of BSS from the acoustical signal processing point of view. Frequency-domain BSS is shown to be equivalent to two sets of frequency domain adaptive microphone arrays, i.e., adaptive beamformers (ABFs). Although BSS makes spatial notch to a jammer as well as ABF, BSS has a strong advantage over ABF. BSS can be regarded as an intelligent version of ABF in the sense that it can adapt without any information on the array manifold or the target direction, and sources can be simultaneously active in BSS.

BIO:
Shoji Makino (F) received B. E., M. E., and Ph. D. degrees from Tohoku University, Sendai, Japan, in 1979, 1981, and 1993, respectively. He joined Nippon Telegraph and Telephone Corporation (NTT) in 1981. Since then, he has been engaged in research on adaptive filtering technologies and the realization of acoustic echo cancellation. He is now a Professor at University of Tsukuba. His research interests include blind source separation of convolutive mixtures of speech, and acoustic signal processing for speech and audio applications.

He received the ICA Unsupervised Learning Pioneer Award in 2006, the IEEE MLSP Competition Award in 2007, the TELECOM System Technology Award in 2004, the Achievement Award of the Institute of Electronics, Information, and Communication Engineers (IEICE) in 1997, and the Outstanding Technological Development Award of the Acoustical Society of Japan (ASJ) in 1995. He is the author or co-author of more than 200 articles in journals and conference proceedings and is responsible for more than 150 patents. He was a Keynote Speaker at ICA2007, a Tutorial speaker at ICASSP2007.

He has served on IEEE SPS Awards Board (2006-08) and IEEE SPS Conference Board (2002-04). He is a member of the James L. Flanagan Speech & Audio Processing Award Committee. He was an Associate Editor of the IEEE Transactions on Speech and Audio Processing (2002-05) and is an Associate Editor of the EURASIP Journal on Advances in Signal Processing. He is a member of SPS Audio and Electroacoustics Technical Committee and the Chair of the Blind Signal Processing Technical Committee of the IEEE Circuits and Systems Society. He was the Vice President of the Engineering Sciences Society of the IEICE (2007-08), and the Chair of the Engineering Acoustics Technical Committee of the IEICE (2006-08). He is a member of the International IWAENC Standing committee and a member of the International ICA Steering Committee. He was the General Chair of WASPAA2007, the General Chair of IWAENC2003, the Organizing Chair of ICA2003, and is the designated Plenary Chair of ICASSP2012.

Dr. Makino is an IEEE Fellow, an IEICE Fellow, a council member of the ASJ, and a member of EURASIP.

Shoji Makino Professor and Aspect Director Center for Tsukuba Advanced Research Alliance University of Tsukuba 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8577 Japan

Tel/Fax +81-29-853-6432

E-mail: maki@tara.tsukuba.ac.jp

http://www.tara.tsukuba.ac.jp/~maki/

LECTURE TOPIC(S): - Blind Audio Source Separation based on Independent Component Analysis

- Underdetermined Blind Source Separation based on Sparseness

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