Multichannel blind deconvolution for source separation in convolutive mixtures of speech

IEEE Transactions on Audio, Speech and Language Processing

Volumn 14, Issue 1, 2006, Pages 200-212

  Kokkinakis, Kostas ^a,b   Nandi, Asoke K ^{a,b,c,d,e,f,g,h}  

^a IEEE   (United Kingdom)

^b UNIVERSITY OF LIVERPOOL   (United Kingdom)

^c Signal Processing and Communications Research Group   (United Kingdom)

^d Cambridge Philosophical Society   (Singapore)

^e Institution of Electrical Engineers   (United Kingdom)

^f Institute of Mathematics and Its Applications   (United Kingdom)

^g Institute of Physics   (United Kingdom)

^h Royal Society for Arts   (United Kingdom)

Author keywords

Acoustic mixtures; Blind signal separation; FIR filters; Linear prediction analysis; Multichannel blind deconvolution; Natural gradient algorithm; Speech mixtures

Indexed keywords

ACOUSTIC MIXTURES; LINEAR PREDICTION ANALYSIS; MULTICHANNEL BLIND DECONVOLUTION; NATURAL GRADIENT ALGORITHMS; SPEECH MIXTURES;

ALGORITHMS; CONSTRAINT THEORY; ENTROPY; MATHEMATICAL MODELS; OPTIMIZATION; SPEECH PROCESSING;

BLIND SOURCE SEPARATION;

EID: 33744986234     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSA.2005.854109     Document Type: Conference Paper

References (31)

1. S. Amari, A. Cichocki, and H. Yang, "A new learning algorithm for blind signal separation," in Advances in Neural Information Processing Systems. Cambridge, MA: MIT Press, 1996, vol. 8, pp. 757-763.
2. A. Bell and T. Sejnowski, "An information maximization approach to blind separation and blind deconvolution," Neural Computat., vol. 7, no. 6, pp. 1129-1159, Jul. 1995.
3. J.-F. Cardoso, "Infomax and maximum likelihood for source separation," IEEE Signal Process. Lett., vol. 4, no. 4, pp. 112-114, Apr. 1997.
4. N. Charkani and Y. Deville, "Self-adaptive separation of convolutively mixed signals with a recursive structure. Part II: Theoretical extensions and application to synthetic and real signals," Signal Process., vol. 75, no. 2, pp. 117-140, Jun. 1999.
5. E. C. Cherry, "Some experiments on the recognition of speech with one and with two ears," J. Acoust. Soc. Amer., vol. 25, no. 5, pp. 975-979, Sep. 1953.
6. S. Choi, H. Hong, H. Glotin, and F. Berthommier, "Multichannel signal separation for cocktail party speech recognition: A dynamic recurrent network,"Neurocomput., vol. 49, no. 1-4, pp. 299-314, Dec. 2002.
7. S. Choi, A. Cichocki, and S. Amari, "Flexible independent component analysis,"J. VLSI Signal Process., vol. 26, no. 1, pp. 25-38, Aug. 2000.
8. P. Comon, "Independent component analysis: A new concept?," Signal Process., vol. 36, no. 3, pp. 287-314, Apr. 1994.
9. S. Oazor and W. Zhang, "Speech probability distribution," IEEE Signal Process. Lett., vol. 10. pp. 204-207. Jul. 2003.
10. C. Jutten and J. Hérault, "Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture." Signal Process. vol. 24. no. 1,pp. 1-10. Jul. 1991.
11. M. Kawamoto, K. Matsuoka, and N. Ohnishi. "A method of blind separation for convolved nonstationary signals." Neurocomput., vol. 22, no. 1-3, pp. 157-171, Nov. 1998.
12. K. Kokkinakis, V. Zarzoso, and A. K. Nandi, "Blind separation of acoustic mixtures based on linear prediction analysis," in Proc. 4th Int. Symp. ICA and BSS, Nara, Japan, Apr. 1-4, 2003, pp. 343-348.
13. K. Kokkinakis and A. K. Nandi, "Optimal blind separation of convolutive audio mixtures without temporal constraints," in Proc, IEEE Int. Conf. Acoustics, Speech and Signal Processing, vol. I. Montréal. QC, Canada. May 17-21, 2004, pp. 217-220.
14. A. J. W. van der Kouwe, D. L. Wang, and G. J. Brown, "A comparison of auditory and blind separation techniques for speech segregation," IEEE Trans. Speech Audio Process., vol. 9, no. 3. pp. 189-195, Mar. 2001.
15. R. H. Lambert, "Multichannel blind deconvolution: FIR matrix algebra and separation of multipath mixtures," Ph.D. dissertation, Univ. Southern California, Los Angeles. 1996.
16. R. H. Lambert and A. J. Bell, "Blind separation of multiple speakers in a multipath environment," in Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing. Munich, Germany. Apr. 21-24, 1997, pp. 423-426.
17. [171 T.-W. Lee, A. J. Bell, and R. H. Lambert, "Blind separation of delayed and convolved sources," in Advances in Neural Information Processing Systems. Cambridge, MA: MIT Press, 1997, vol. 9, pp. 758-764.
18. T.-W. Lee, A. J. Bell, and R. Orglmeister, "Blind source separation of real world signals." in Proc. IEEE Int. Conf. on Neural Networks, Houston. TX, Jun. 9-12, 1997, pp. 2129-2135.
19. T.-W. Lee, A. Ziehe, R. Orglmeister, and T. Sejnowski, "Combining time-delayed decorrelation and ICA: Toward solving the cocktail-party problem," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, Seattle, WA, May 12-15, 1999, pp. 1249-1252.
20. J. Makhoul, "Linear prediction: A tutorial review," Proc. IEEE. vol. 63, no. 4, pp. 561-580, Apr. 1975.
21. 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.
22. N. Murata, S. Ikeda, and A. Ziehe. "An approach to blind source separation based on temporal structure of speech signal," Neurocomput., vol. 41, no. 1-4, pp. 1-24, Oct. 2001.
23. L. Parra and C. Spence, "Convolutive blind separation of nonstationary sources," IEEE Trans. Speech Audio Process., vol. 8, no. 3, pp. 320-327, May 2000.
24. K. J. Pope and R. E. Bogner, "Blind signal separation II. Linear, convolutive combinations." DigitalSignal Process., vol. 6, no. 3, pp. 17-28,1996.
25. L. R. Rabiner and R. W. Schafer, Digital Processing of Speech Signals. Englewood Cliffs, NJ: Prentice-Hall, 1978.
26. D. W. E. Schobben and P. C. W. Sommen, "A frequency domain blind signal separation method based on decorrelation." IEEE Trans. Signal Process., vol. 50, no. 8, pp. 1855-1865, Aug. 2002.
27. P. Smaragdis. "Blind separation of convolved mixtures in the frequency domain," Neurocomput., vol. 22, no. 1-3, pp. 21-34, Nov. 1998.
28. X. Sun and S. C. Douglas, "A natural gradient convolutive blind source separation algorithm for speech mixtures," in Proc. 3rd Int. Conf. ICA and BSS, San Diego, CA, Dec. 9-13, 2001. pp. 59-64.
29. K. Torkkola. "Blind separation of delayed sources based on information maximization," in Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing. Atlanta. GA, May 7-10. 1996, pp. 3509-3512.
30. _, "Blind separation of convolved sources based cm information maximization," in Proc. IEEE Workshop on Neural Networks and Signal Processing, Kyoto, Japan, Sep. 4-6, 1996, pp. 423-432.
31. A.-J. van der Veen, S. Talwar, and A. Paulraj, "A subspace approach 10 blind space-time signal processing for wireless communication systems." IEEE Trans. Signal Process., vol. 45, no. 1, pp. 173-190, Jan. 1997.