Blind source separation of many signals in the frequency domain

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 5, Issue , 2006, Pages

  Mukai, Ryo ^a   Sawada, Hiroshi ^a   Araki, Shoko ^a   Makino, Shoji ^a  

^a Nippon Telegraph and Telephone Corporation   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC SIGNAL PROCESSING; COMPUTATIONAL GEOMETRY; DIRECTION OF ARRIVAL; FREQUENCY DOMAIN ANALYSIS; INDEPENDENT COMPONENT ANALYSIS; INFORMATION ANALYSIS; PROBLEM SOLVING; SENSOR ARRAYS; SIGNAL ANALYSIS;

CONVOLUTIVELY MIXED ACOUSTIC SIGNALS; PERMUTATION PROBLEM; VECTOR CLUSTERING;

BLIND SOURCE SEPARATION;

EID: 33947628208     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. S. Haykin, Ed., Unsupervised Adaptive Filtering, John Wiley & Sons, 2000.
2. A. Hyvärinen, J. Karhunen, and E. Oja, Independent Component Analysis, John Wiley & Sons, 2001.
3. K. Matsuoka and S. Nakashima, "Minimal distortion principle for blind source separation," in Proc. ICA 2001, 2001, pp. 722-727.
4. S. C. Douglas and X. Sun, "Convolutive blind separation of speech mixtures using the natural gradient," Speech Communication, vol. 39, pp. 65-78, 2003.
5. S. C. Douglas, H. Sawada, and S. Makino, "A spatio-temporal FastICA algorithm for separating convolutive mixtures," in Proc. ICASSP 2005, 2005, vol. V, pp. 165-168.
6. P. Smaragdis, "Blind separation of convolved mixtures in the frequency domain," Neurocomputing, vol. 22, pp. 21-34, 1998.
7. N. Murata, S. Ikeda, and A. Ziehe, "An approach to blind source separation based on temporal structure of speech signals," Neurocomputing, vol. 41, no. 1-4, pp. 1-24, 2001.
8. F. Asano, S. Ikeda, M. Ogawa, H. Asoh, and N. Kitawaki, "Combined approach of array processing and independent component analysis for blind separation of acoustic signals," IEEE Trans. Speech Audio Processing, vol. 11, no. 3, pp. 204-215, May 2003.
9. 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.
10. 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, Mar. 2003.
11. H. Sawada, R. Mukai, S. Araki, and S. Makino, "A robust and precise method for solving the permutation problem of frequency-domain blind source separation, IEEE Trans. Speech Audio Processing, vol. 12, no. 5, pp. 530-538, 2004.
12. R. Mukai, U. Sawada, S. Araki, and S. Makino, "Frequency domain blind source separation for many speech signals," in Proc. ICA2004 (LNCS 3195), pp. 461-469. Springer-Verlag, 2004.
13. H. Sawada, R. Mukai, S. Araki, and S. Makino, "Frequency-domain blind source separation," in Speech Enhancement, J. Benesty, S. Makino, and J. Chen, Eds., chapter 13, pp. 299-327. Springer, 2005.
14. H. Sawada, S. Araki, R. Mukai, and S. Makino, "Blind extraction of a dominant source from mixtures of many sources using ICA and time-frequency masking," in Proc. ISCAS 2005, 2005, pp. 5882-5885.
15. S. Araki, H. Sawada, R. Mukai, and S. Makino, "A novel blind source separation method with observation vector clustering," in Proc. IWAENC 2005, 2005, pp. 117-120.
16. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, Wiley Interscience, 2nd edition, 2000.
17. E. Bingham and A. Hyvärinen, "A fast fixed-point algorithm for independent component analysis of complex valued signals," International Journal of Neural Systems, vol. 10, no. 1, pp. 1-8, Feb. 2000.
18. A. J. Bell and T. J. Sejnowski, "An information-maximization approach to blind separation and blind deconvolution," Neural Computation, vol. 7, no. 6, pp. 1129-1159, 1995.