A robust and precise method for solving the permutation problem of frequency-domain blind source separation

IEEE Transactions on Speech and Audio Processing

Volumn 12, Issue 5, 2004, Pages 530-538

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

^a NTT Communication Science Laboratories   (Japan)

Author keywords

Blind source separation (BSS); Convolutive mixture; Direction of arrival (DOA) estimation; Frequency domain; Independent component analysis (ICA); Permutation problem; Signal envelope

Indexed keywords

CONVOLUTION MIXTURE; DIRECTION OF ARRIVAL (DOA); FREQUENCY DOMAIN; INDEPENDENT COMPONENT ANALYSIS (ICA); PERMUTATION PROBLEM; SIGNAL ENVELOPE;

ALGORITHMS; CORRELATION METHODS; FAST FOURIER TRANSFORMS; FREQUENCIES; PARAMETER ESTIMATION; ROBUSTNESS (CONTROL SYSTEMS); SENSORS; SIGNAL PROCESSING; WAVE FILTERS;

BLIND SOURCE SEPARATION;

EID: 4344579404     PISSN: 10636676     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSA.2004.832994     Document Type: Article

References (33)

1. S. Haykin, Ed., Unsupervised Adaptive Filtering (Volume I: Blind Source Separation). New York: Wiley, 2000.
2. T. W. Lee, Independent Component Analysis-Theory and Applications. Norwell, MA: Kluwer, 1998.
3. A. Hyvärinen, J. Karhunen, and E. Oja, Independent Component Analysis. New York: Wiley, 2001.
4. S. Amari, S. C. Douglas, A. Cichocki, and H. H. Yang, "Multichannel blind deconvolution and equalization using the natural gradient," in Proc. IEEE Workshop Signal Processing Advances Wireless Communications, Apr. 1997, pp. 101-104.
5. M. Kawamoto, K. Matsuoka, and N. Ohnishi, "A method of blind separation for convolved nonstationary signals," Neurocomput. vol. 22, pp. 157-171, 1998.
6. K. Matsuoka and S. Nakashirna, "Minimal distortion principle for blind source separation," in Proc. ICA, Dec. 2001, pp. 722-727.
7. S. C. Douglas and X. Sun, "Convolutive blind separation of speech mixtures using the natural gradient," Speech Commun., vol. 39 pp. 65-78, 2003.
8. P. Smaragdis, "Blind separation of convolved mixtures in the frequency domain," Neurocomput., vol. 22, pp. 21-34, 1998.
9. S. Kurita, H. Saruwatari, S. Kajita, K. Takeda, and F. Itakura, "Evaluation of blind signal separation method using directivity pattern under reverberant conditions," in Proc. ICASSP, June 2000, pp. 3140-3143.
10. M. Z. Ikram and D. R. Morgan, "A beamforming approach to permutation alignment for multichannel frequency-domain blind speech separation," in Proc. ICASSP, May 2002, pp. 881-884.
11. S. Araki, S. Makino, Y. Hinamoto, R. Mukai, T. Nishikawa, and H. Saruwatari, "Equivalence between frequency donain blind source separation and frequency domain adaptive beamforming for convolutive mixtures," EURASIP J. Appl. Signal Process., no. 11, pp. 1157-1166, 2003.
12. J. Anemüller and B. Kollmeier, "Amplitude modulation decorrelation for convolutive blind source separation," in Proc ICA, June 2000, pp. 215-220.
13. 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, Oct. 2001.
14. F. Asano, S. Ikeda, M. Ogawa, H. Asoh, and N. Kitawaki, "A combined approach of array processing and independent component analysis for blind separation of acoustic signals," in Proc. ICASSP, May 2001, pp. 2729-2732.
15. H. Sawada, R. Mukai, S. Araki, and S. Makino, "Polar coordinate based nonlinear function for frequency domain blind source separation," IEICE Trans. Fund., vol. E86-A, no. 3, pp. 590-596, Mar. 2003.
16. L. Parra and C. Spence, "Convolutive blind separation of nonstationary sources," IEEE Trans. Speech Audio Processing, vol. 8, pp. 320-327, May 2000.
17. L. Schobben and W. Sommen, "A frequency domain blind signal separation method based on decorrelation," IEEE Trans. Signal Processing, vol. 50, pp. 1855-1865, Aug. 2002.
18. A. D. Back and A. C. Tsoi, "Blind deconvolution of signals using a complex recurrent network," Proc. Neural Networks Signal Processing, pp. 565-574, 1994.
19. R. H. Lambert and A. J. Bell, "Blind separation of multiple speakers in a multipath environment," in Proc. ICASSP, Apr. 1997, pp. 423-426.
20. T. W. Lee, A. J. Bell, and R. Orglmeister, "Blind source separation of real world signals." in Proc. ICNN, June 1997, pp 2129-2135.
21. M. Joho and P. Schniter, "Frequency domain realization of a multichannel blind deconvolution algorithm based on the natural gradient," in Proc. ICA, Apr. 2003, pp. 543-548.
22. H. Buchner, R. Aichner, and W. Kellermann, "A generalization of a class of blind source separation algorithms for convolutive mixtures," in Proc. ICA, Apr. 2003, pp. 945-950.
23. S. Winter, H. Sawada. and S. Makino, "Geometrical understanding of the PCA subspace method for overdetermined blind source separation," in Proc. ICASSP, Apr. 2003, pp. 769-772.
24. A. Bell and T. Sejnowski, "An information-maximization approach to blind separation and blind deconvolution," Neural Comput., vol. 7, no. 6, pp. 1129-1159, 1995.
25. S. Amari, "Natural gradient works efficiently in learning," Neural Comput., vol. 10. no. 2, pp. 251-276, 1998.
26. A. Hyvärinen, "Fast and robust fixed-point algorithm for independent component analysis," IEEE Trans. Neural Networks, vol. 10, pp. 626-634, May 1999.
27. J. F. Cardoso and A. Souloumiac, "Blind beamforming for nongaussian signals," Proc. Instit. Elec. Eng.-F, pp. 362-370, Dec. 1993.
28. K. Matsuoka, M. Ohya, and M. Kawamoto, "A neural net for blind separation of nonstationary signals," Neural Networks, vol. 8, no. 3, pp. 411-419, 1995.
29. B. D. Van Veen and K. M. Buckley, "Beamforming: a versatile approach to spatial filtering," IEEE ASSP Mag., pp. 2-24, Apr. 1988.
30. H. Sawada, R. Mukai, S. Araki, and S. Makino, "Convolutive blind source separation for more than two sources in the frequency domain," in Proc. ICASSP, May 2004, pp. III-885-III-888.
31. R. Mukai, H. Sawada, S. de la Kethulle, S. Araki, and S. Makino, "Array geometry arrangement for frequency domain blind source separation," in Proc. IWAENC, Sept. 2003, pp. 219-222.
32. D. A. Harville, Matrix Algebra From a Statistician's Perspective. New York: Springer-Verlag, 1997.
33. H. Sawada, R. Mukai, S. Araki, and S. Makino, "A robust approach to the permutation problem of frequency-domain blind source separation," in Proc. ICASSP, Apr. 2003, pp. 381-384.