Spatio-temporal FastICA algorithms for the blind separation of convolutive mixtures

IEEE Transactions on Audio, Speech and Language Processing

Volumn 15, Issue 5, 2007, Pages 1511-1520

  Douglas, Scott C ^a   Gupta, Malay ^a   Sawada, Hiroshi ^b   Makino, Shoji ^b  

^a Southern Methodist University   (United States)

^b NTT Corporation   (Japan)

Author keywords

Blind source separation (BSS); Fixed point algorithm; Independent component analysis; Speech enhancement

Indexed keywords

ADAPTIVE CONSTRAINTS; ADAPTIVE PROCEDURES; BLIND SEPARATIONS; CONVOLUTIVE BLIND SOURCE SEPARATIONS; CONVOLUTIVE MIXTURES; EFFICIENT RECONSTRUCTION; FAST CONVERGENCES; FASTICA ALGORITHMS; FIXED-POINT ALGORITHM; LEAST-SQUARES; LINEAR PREDICTIONS; MULTI-CHANNEL SEPARATIONS; MULTICHANNEL; NUMERICAL EVALUATIONS; PARAUNITARY; PARAUNITARY FILTER BANKS; PREWHITENING; RELATIVE PERFORMANCE; SENSOR MEASUREMENTS; SEPARATION PERFORMANCE; SEPARATION SOLUTIONS; SINGLE INPUT MULTIPLE OUTPUTS; SPATIO TEMPORALS; STEP SIZE SELECTIONS; TIME-DOMAIN ALGORITHMS;

ADAPTIVE ALGORITHMS; APARTMENT HOUSES; COST FUNCTIONS; FILTER BANKS; INDEPENDENT COMPONENT ANALYSIS; NUMERICAL METHODS; SIGNAL ANALYSIS; SIZE SEPARATION; SPEECH ANALYSIS; SPEECH ENHANCEMENT;

BLIND SOURCE SEPARATION;

EID: 38149063400     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASL.2007.899176     Document Type: Article

References (22)

1. A. Cichocki and S.-I. Amari, Adaptive Blind Signal and Image Processing. New York: Wiley, 2002.
2. A. Hyvärinen, J. Karhunen, and E. Oja, Independent Component Analysis. New York: Wiley, 2001.
3. P. Smaragdis, "Blind separation of convolved mixtures in the frequency domain," Neurocomputing, vol. 22, no. 1-3, pp. 21-34, Nov. 1998.
4. S. Ikeda and N. Murata, "A method of blind separation based on temporal structure of signals," in Proc. 5th Int. Conf. Neural Inf. Process, Kitakyushu, Japan, Oct. 1998, pp. 737-742.
5. N. Mitianoudis and M. E. Davies, "Audio source separation of convolutive mixtures," IEEE Trans. Speech Audio Process., vol. 11, no. 5, pp. 489-497, Sep. 2003.
6. L. Parra and C. Spence, "Convolutive blind separation of non-stationary sources," IEEE Trans. Speech Audio Process., vol. 8, no. 3, pp. 320-327, May 2000.
7. L. Parra and C. Alvino, "Geometric source separation: Merging convolutve source separation with geometric beamforming," IEEE Trans. Speech Audio Process., vol. 10, no. 6, pp. 352-362, Sep. 2002.
8. 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 Process., vol. 12, no. 5, pp. 530-538, Sep. 2004.
9. H. Saruwatari, T. Kawamura, T. Nishikawa, A. Lee, and K. Shikano, "Blind source separation based on a fast-converging algorithm combining ICA and beamforming," IEEE Trans. Audio, Speech, Language Process., vol. 14, no. 2, pp. 666-678, Mar. 2006.
10. S. Amari, S. C. Douglas, A. Cichocki, and H. H. Yang, "Multichannel blind deconvolution and equalization using the natural gradient," in Proc. 1st IEEE Workshop Signal Process. Adv. Wireless Commun., Paris, France, Apr. 1997, pp. 101-104.
11. S. C. Douglas, H. Sawada, and S. Makino, "Natural gradient multichannel blind deconvolution and speech separation using causal FIR filters," IEEE Trans. Speech Audio Process., vol. 13, pp. 92-104, Jan. 2005.
12. A. Hyvärinen and E. Oja, "A fast fixed-point algorithm for independent component analysis," Neural Computat., vol. 9, no. 7, pp. 1483-1492, Oct. 1997.
13. J. Thomas, Y. Deville, and S. Hosseini, "Time domain fast fixed-point algorithms for convolutive ICA," IEEE Signal Process. Lett., vol. 13, no. 4, pp. 228-230, Apr. 2006.
14. S. Ikeda and N. Murata, "A method of ICA in time-frequency domain," in Proc. Int. Workshop Ind. Compon. Anal. Blind Signal Separation, Aussois, France, Jan. 1999, pp. 365-371.
15. T. Takatani, T. Nishikawa, H. Saruwatari, and K. Shikano, "SIMOmodel- based independent component analysis for high-fidelity blind separation of acoustic signals," in Proc. 4th Int. Symp. Ind. Compon. Anal. Signal Separation, Nara, Japan, Apr. 2003, pp. 993-998.
16. H. Buchner, R. Aichner, and W. Kellermann, "Blind source separation for convolutive mixtures exploiting nongaussianity, nonwhiteness, and nonstationarity," in Conf. Rec. IEEE Int. Workshop Acoust. Echo Noise Control (IWAENC), Kyoto, Japan, Sep. 2003, pp. 275-278.
17. P. Comon, E. Moreau, and L. Rota, "Blind separation of convolutive mixtures: A contrast-based joint diagonalization approach," in Proc. 3rd. Int. Conf. Ind. Compon. Anal. Blind Signal Separation, San Diego, CA, Dec. 2001, pp. 686-691.
18. D.-T. Pham, "Contrast functions for blind separation and deconvolution of sources," in Proc. 3rd. Int. Conf. Ind. Compon. Anal. Blind Signal Separation, San Diego, CA, Dec. 2001, pp. 37-42.
19. P. P. Vaidyanathan, Multirate Systems and Filter Banks. Englewood Cliffs, NJ: Prentice-Hall, 1992.
20. S. C. Douglas, "An adaptive constraint method for paraunitary filter banks with applications to spatio-temporal subspace tracking," EURASIP J. Appl. Signal Process., vol. 2007, 2007, article ID 80301.
21. S. C. Douglas, "The singular value manifold and numerical stabilization of algorithms with orthogonality constraints," in Proc. IEEEWorkshop Sensor Array Multichannel Processing, Boston, MA, Jul. 2006.
22. Y. Inouye and K. Tanabe, "Super-exponential algorithms for multichannel blind deconvolution," IEEE Trans. Signal Process., vol. 48, no. 3, pp. 881-888, Mar. 2000.