Blind separation and dereverberation of speech mixtures by joint optimization

IEEE Transactions on Audio, Speech and Language Processing

Volumn 19, Issue 1, 2011, Pages 69-84

  Yoshioka, Takuya ^a   Nakatani, Tomohiro ^a   Miyoshi, Masato ^b   Okuno, Hiroshi G ^c  

^a NTT Communication Science Laboratories   (Japan)

^b KANAZAWA UNIVERSITY   (Japan)

^c KYOTO UNIVERSITY   (Japan)

Author keywords

blind dereverberation (BD); Blind source separation (BSS); conditional separation and dereverberation (CSD)

Indexed keywords

BLIND DEREVERBERATION; BLIND SEPARATION; COMPREHENSIVE EVALUATION; CONDITIONAL SEPARATION AND DEREVERBERATION (CSD); DEREVERBERATION; FREQUENCY-DOMAIN BSS; JOINT OPTIMIZATION; REVERBERATION TIME; SEPARATION MATRIX; SEPARATION NETWORK; SEPARATION PERFORMANCE; SIGNAL TO INTERFERENCE RATIO; SOUND SOURCE; SOURCE SIGNALS; SPEECH MATERIALS; TEST SETS;

ARCHITECTURAL ACOUSTICS; OPTIMIZATION; REVERBERATION; SIGNAL ANALYSIS;

BLIND SOURCE SEPARATION;

EID: 77957745677     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASL.2010.2045183     Document Type: Article

References (34)

1. Y. Huang, J. Benesty, and J. Chen, "A blind channel identification-based two-stage approach to separation and dereverberation of speech signals in a reverberant environment", IEEE Trans. Speech Audio Process., vol. 13, no. 5, pp. 882-895, Sep. 2005.
2. H. Buchner, R. Aichner, and W. Kellermann, "A generalization of blind source separation algorithms for convolutive mixtures based on second-order statistics", IEEE Trans. Speech Audio Process., vol. 13, no. 1, pp. 120-134, Jan. 2005.
3. H. Buchner, R. Aichner, and W. Kellermann, "TRINICON-based blind system identification with application to multiple-source localization and separation", in Blind Speech Separation, S. Makino, T.-W. Lee, and H. Sawada, Eds. New York: Springer, 2007, pp. 101-147.
4. Signal Processing Advances in Wireless and Mobile Communications, +++++++++ G. B. Giannakis, Y. Hua, P. Stoica, and L. Tong, Eds. Upper Saddle River, NJ: Prentice-Hall, 2001, vol. 1, Trends in Channel Estimation and Equalization.
5. S. 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, no. 1, pp. 92-104, Jan. 2005.
6. K. Kokkinakis and A. K. Nandi, "Multichannel blind deconvolution for source separation in convolutive mixtures of speech", IEEE Trans. Audio, Speech, Lang. Process., vol. 14, no. 2, pp. 200-212, Mar. 2006.
7. 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. New York: Springer, 2005.
8. 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.
9. K. Matsuoka and S. Nakashima, "Minimal distortion principle for blind source separation", in Proc. Int. Conf. Ind. Compon. Anal., Blind Signal Separation, 2001, pp. 722-727.
10. S. Araki, R. Mukai, S. Makino, T. Nishikawa, and H. Saruwatari, "The fundamental limitationof frequency domain blind source separation for convolutive mixtures of speech", IEEE Trans. Speech Audio Process., vol. 11, no. 2, pp. 109-116, Mar. 2003.
11. T. Yoshioka, T. Nakatani, and M. Miyoshi, "Integrated speech enhancement method using noise suppression and dereverberation", IEEE Trans. Audio, Speech, Lang. Process., vol. 17, no. 2, pp. 231-246, Feb. 2009.
12. A. Abramson, E. A. P. Habets, S. Gannot, and I. Cohen, "Dual-microphone speech dereverberation using GARCH modeling", in Proc. Int. Conf. Acoust., Speech, Signal, Process., 2008, pp. 4565-4568.
13. H. L. Löllmann and P. Vary, "Low delay noise reduction and dereverberation for hearing aids", EURASIP J. Adv. Signal Process., vol. 2009, 2009, article ID 437807.
14. K. Lebart, J. M. Boucher, and P. N. Denbigh, "A new method based on spectral subtraction for speech dereverberation", Acta Acust. United With Acust., vol. 87, pp. 359-366, 2001.
15. E. A. P. Habets, S. Gannot, I. Cohen, and P. C. W. Sommen, "Joint dereverberation and residual echo suppression of speech signals in noisy environments", IEEE Trans. Audio, Speech, Lang. Process., vol. 16, no. 8, pp. 1433-1451, Nov. 2008.
16. S. Gannot and M. Moonen, "Subspace methods for multimicrophone speech dereverberation", EURASIP J. Appl. Signal Process., vol. 2003, no. 11, pp. 1074-1090, 2003.
17. B. W. Gillespie, H. S. Malvar, and D. A. F. Florêncio, "Speech dereverberation via maximum-kurtosis subband adaptive filtering", in Proc. Int. Conf. Acoust., Speech, Signal Process., 2001, vol. VI, pp. 3701-3704.
18. T. Nakatani, T. Yoshioka, K. Kinoshita, M. Miyoshi, and B.-H. Juang, "Blind speech dereverberation with multi-channel linear prediction based on short time Fourier transform representation", in Proc. Int. Conf. Acoust. Speech, Signal Process., 2008, pp. 85-88.
19. M. Miyoshi, M. Delcroix, and K. Kinoshita, "Calculating inverse filters for speech dereverberation", IEICE Trans. Fund., vol. E91-A, no. 6, pp. 1303-1309, 2008.
20. T. Nakatani, T. Yoshioka, K. Kinoshita, M. Miyoshi, and B.-H. Juang, "Speech dereverberation in short time Fourier transform domain with crossband effect compensation", in Proc. Hands-Free Speech Commun., Micro. Arrays, 2008, pp. 220-223.
21. S. Araki, S. Makino, R. Aichner, T. Nishikawa, and H. Saruwatari, "Subband-based blind separation for convolutive mixtures of speech", IEICE Trans. Fund., vol. E88-A, no. 12, pp. 3593-3603, 2005.
22. A. van den Bos, "The multivariate complex normal distribution-A generalization", IEEE Trans. Inf. Theory, vol. 41, no. 2, pp. 537-539, Mar. 1995.
23. S. Douglas and X. Sun, "Convolutive blind separation of speech mixtures using the natural gradient", Speech Commun., vol. 39, no. 1, pp. 65-78, 2003.
24. S. Amari, "Natural gradient works efficiently in learning", Neur. Comput., vol. 10, no. 2, pp. 251-276, 1998. (Pubitemid 128463152)
25. T. Yoshioka, T. Nakatani, and M. Miyoshi, "An integrated method for blind separation and dereverberation of convolutive audio mixtures", in Proc. Eur. Signal Process. Conf., 2008, CD-ROM Proceedings.
26. A. Hyvärinen, J. Karhunen, and E. Oja, Independent Component Analysis. New York: Wiley, 2001.
27. H. Sawada, S. Araki, and S. Makino, "Measuring dependence of binwise separated signals for permutation alignment in frequency-domain BSS", in Proc. Int. Symp. Circuits Syst., 2007, pp. 3247-3250.
28. S. Haykin, Adaptive Filter Theory, 4th ed. Upper Saddle River, NJ: Prentice-Hall, 2001.
29. M. Miyoshi and Y. Kaneda, "Inverse filtering of room acoustics", IEEE Trans. Acoust., Speech, Signal Process., vol. 36, no. 2, pp. 145-152, Feb. 1988.
30. T. Yoshioka, T. Nakatani, and M. Miyoshi, "Fast algorithm for conditional separation and dereverberation", in Proc. Eur. Signal Process. Conf., 2009, CD-ROM Proceedings.
31. S. Douglas, M. Gupta, H. Sawada, and S. Makino, "Spatio-temporal FastICA algorithms for the blind separation of convolutive mixtures", IEEE Trans. Audio, Speech, Lang. Process., vol. 15, no. 5, pp. 1511-1520, Jul. 2007.
32. K. Abed-Meraim, E. Moulines, and P. Loubaton, "Prediction error method for second-order blind identification", IEEE Trans. Signal Process., vol. 45, no. 3, pp. 694-705, Mar. 1997.
33. Z. Ding, "Linear predictive algorithms for blind multichannel identification", in Signal Processing Advances in Wireless and Mobile Communications, G. B. Giannakis, Y. Hua, P. Stoica, and L. Tong, Eds. Upper Saddle River, NJ: Prentice-Hall, 2001, vol. 1, Trends in Channel Estimation and Equalization, pp. 179-209.
34. A. Gorokhov and P. Loubaton, "Subspace-based techniques for blind separation of convolutive mixtures with temporally correlated sources", IEEE Trans. Circuits Syst. I, vol. 44, no. 9, pp. 813-820, Sep. 1997.