Blind source separation of acoustic signals in realistic environments based on ICA in the time-frequency domain

International Journal of Pervasive Computing and Communications

Volumn 1, Issue 2, 2005, Pages 89-100

  Ding, Shuxue ^a,b   Cichocki, Andrzej ^b   Huang, Jie ^a   We, Daming ^a  

^a UNIVERSITY OF AIZU   (Japan)

^b RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

Author keywords

Deconvolution; Permutation

Indexed keywords

EID: 84893496764     PISSN: 17427371     EISSN: 1742738X     Source Type: Journal    
DOI: 10.1108/17427370580000115     Document Type: Article

References (23)

1. C. Jutten and J. Herault. Separation of sources, part I. Signal Processing, 24(1): 1-10, 1991.
2. A. J. Bell and T. J. Sejnowski. An information maximization approach to blind separation and blind deconvolution. Neural Computation, 7: 1129-1159, 1995.
3. P. Comon. Independent component analysis, a new concept? Signal Processing, 36(3): 287-314, 1994.
4. S. Amari, A. Cichocki and H. H. Yang. A new learning algorithm for blind signal separation. In: D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo, eds., Advances in Neural Information Processing Systems, 8: 757-763. MIT Press, Cambridge MA, 1996.
5. A. Cichocki and S. Amari. Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications. West Sussex, UK: John Wiley-Sons, 2003.
6. L. Molgedey and H. G. Schuster. Separation of a mixture of independent signals using time delayed correlations. Physical Review Letter, 72(23): 3634-3637, 1994.
7. J. Cardoso and A. Souloumiac. Jacobi angles for simultaneous diagonalization. SIAM Journal on Matrix Analysis and Applications, 17(1): 161-164, 1996.
8. J. Karhunen, A. Cichocki, W. Kasprzak and P. Pajunen. On neural blind separation with noise suppression and redundancy reduction. International Journal of Neural Systems, 8(2): 219-237,1997.
9. R. H. Lambert. Multichannel blind deconvolution: FIR matrix algebra and separation of multipath mixtures. PhD dissertation, University of Southern California, Department of Electrical Engineering, May 1996.
10. R. H. Lambert and C. L. Nikias. Blind deconvolution of multipath mixtures. In: S. Haykin, ed., Unsupervised Adaptive Filtering, Volume 1, pp. 377-436. John Wiley-Sons, 2000.
11. N. Murata, S. Ikeda and A. Ziehe. An approach to blind source separation based on temporal structure of speech signals. BSIS Technical Reports, 98-2, 1998.
12. M. Ogawa, F. Asano, S. Ikeda, H. Asoh and N. Kitawaki. Blind source separation for acoustic signals using subspace method and frequencydomain infomax. Technical Report of IEICE. EA2000-50: 15-22, 2000.
13. S. Choi and A. Cichocki. Blind separation of nonstationary source in noisy mixtures. Electronics Letters, 36(9): 848-849, 2000.
14. J. Anemüller and T. Gramss. On-line blind separation of moving sound sources. Proc. ICA'99, 331-334, 1999.
15. J. Anemüller. Across-frequency processing in convolutive blind source separation. PhD thesis, Dept. of Physics, University of Oldenburg, Oldenburg, Germany, 2001.
16. S. Ding, J. Huang and D. Wei. Real-time blind source separation of acoustic signals with a recursive approach. International Journal of Computational Intelligence and Applications, 4(2): 193-206, 2004.
17. A. K. Barros, H. Kawahara, A. Cichocki, S. Kajita, T. M. Rutkowski, M. Kawamoto and N. Ohnishi. Enhancement of a speech signal embedded in noisy environment using two microphones. Proc. ICA2000, pp. 423-428, 2000.
18. K. Torkkola. Blind separation for audio signals-are we there yet? Proc. ICA'99, 239-244, 1999.
19. A. Hyvärinen. Fast and robust fixed-point algorithms for Independent Component Analysis. IEEE Transactions on Neural Networks, 10(3): 626-634, 1999.
20. E. Bingham and A. Hyvärinen. A fast fixed-point algorithm for independent component analysis of complex valued signals. International Journal of Neural Systems, 10(1): 1-8, 2000.
21. D. W. E. Schobben. Real-time adaptive concepts in acoustics. Kluwer Academic Publishers, 2001. [Online]. Available: http://www2.ele.tue.nl/ ica99/realworld.html.
22. D. Schobben, K. Torkkola and P. Smaragdis. Evaluation of Blind Signal Separation Methods. Proc. Int. Workshop Independent Component Analysis and Blind Signal Separation, pp. 261-266, 1999.
23. L. Parra and C. Spence. Convolutive blind separation of non-stationary sources. IEEE Transaction on Speech and Audio Processing, 8(3):320-327, 2000.