Copyright © 2008 The Institute of Electronics, Information and Communication Engineers
Special Section on Acoustic Scene Analysis and Reproduction - Letters |
Fast Convergence Blind Source Separation Using Frequency Subband Interpolation by Null Beamforming
1 The authors are with the Graduate School of Information Science, Nara Institute of Science and Technology, Ikoma-shi, 630-0192 Japan. E-mail: keiichi-o{at}is.naist.jp; E-mail: sawatari{at}is.naist.jp
We propose a new algorithm for the blind source separation (BSS) approach in which independent component analysis (ICA) and frequency subband beamforming interpolation are combined. The slow convergence of the optimization of the separation filters is a problem in ICA. Our approach to resolving this problem is based on the relationship between ICA and null beamforming (NBF). The proposed method consists of the following three parts: (I) a frequency subband selector part for learning ICA, (II) a frequency domain ICA part with direction-of-arrivals (DOA) estimation of sound sources, and (III) an interpolation part in which null beamforming constructed with the estimated DOA is used. The results of the signal separation experiments under a reverberant condition reveal that the convergence speed is superior to that of the conventional ICA-based BSS methods.
Key Words: blind source separation, independent component analysis, null beamforming, DOA estimation
Manuscript received August 4, 2007. Manuscript revised November 22, 2007.
References
[1] P. Comon, "Independent component analysis, a new concept?," Signal Process., vol.36, pp.287–314, 1994. [2] N. Murata and S. Ikeda, "An on-line algorithm for blind source separation on speech signals," Proc. 1998 International Symposium on Nonlinear Theory nd Its Application (NOLTA'98), vol.3, pp.923–926, 1998. [3] P. Smaragdis, "Blind separation of convolved mixtures in the frequency domain," Neurocomputing, vol.22, pp.21–34, 1998. [4] H. Saruwatari, T. Kawamura, T. Nishikawa, A. Lee, and K. Shikano, "Blind source separation based on a fast-convergence algorithm combining ICA and beamforming," IEEE Trans. Speech Audio Process., vol.14, no.2, pp.666–678, 2006. [5] H. Sawada, R. Mukai, S. Araki, and S. Makino, "Polar coordinate based nonlinear function for frequency domain blind source separation," IEICE Trans. Fundamentals, vol.E86-A, no.3, pp.590–596, March 2003. [6] D.H. Johnson and D.E. Dudgeon, Array Signal Processing: Concepts and Techniques, Prentice-Hall, Englewood Cliffs, NJ, 1993. [7] H. Saruwatari, S. Kurita, K. Takeda, F. Itakura, T. Nishikawa, and K. Shikano, "Blind source separation combining independent component analysis and beamforming," EURASIP Journal on Applied Signal Processing, vol.2003, no.11, pp.1135–1146, 2003.
CiteULike 
Connotea 
Del.icio.us What's this?
This Article 
Abstract
Full Text (PDF)
Alert me when this article is cited
Alert me if a correction is posted
Services
Email this article to a friend
Similar articles in this journal
Alert me to new issues of the journal
Add to My Personal Archive
Download to citation manager
Request Permissions
Google Scholar
Articles by OSAKO, K.
Articles by SHIKANO, K.
Social Bookmarking
What's this?