Robust speech dereverberation using multichannel blind deconvolution with spectral subtraction

IEEE Transactions on Audio, Speech and Language Processing

Volumn 15, Issue 5, 2007, Pages 1579-1591

  Furuya, Kenichi ^a   Kataoka, Akitoshi ^a  

^a NTT CORPORATION   (Japan)

Author keywords

Blind deconvolution; Dereverberation; Inverse filter; Reverberation; Spectral subtraction; Speech enhancement

Indexed keywords

BLIND DECONVOLUTION; CORRELATION MATRICES; DEREVERBERATION; ESTIMATION ERRORS; FILTERED SPEECH; INPUT SIGNALS; INVERSE FILTER; INVERSE FILTERING; MULTICHANNEL BLIND DECONVOLUTION; REVERBERANT CONDITIONS; ROBUST SPEECH; ROOM IMPULSE RESPONSE; SPECTRAL SUBTRACTION; SPEECH QUALITIES;

REVERBERATION; SPEECH ENHANCEMENT;

CONVOLUTION;

EID: 50449100228     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASL.2007.898456     Document Type: Article

References (22)

1. 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.
2. S. T. Neely and J. B. Allen, "Invertibility of a room impulse response," J. Acoust. Soc. Amer., vol. 66, no. 1, pp. 165-169, 1979.
3. M. I. Gurelli and C. L. Nikias, "EVAM: An eigenvector-based algorithm for multi-channel blind deconvolution of input colored signals," IEEE Trans. Signal Process., vol. 43, no. 1, pp. 134-149, Jan. 1995.
4. H.Wang, "Multi-channel deconvolution using pade approximation," in Proc. ICASSP, Detroit, MI, Apr. 1995, pp. 3007-3010.
5. A. Bell and T. J. Sejnowski, "An information-maximization approach to blind separation and blind deconvolution," Neural Comput., vol. 7, pp. 1129-1159, 1995.
6. K. Furuya and Y. Kaneda, "Two-channel blind deconvolution for nonminimum phase impulse responses," in Proc. ICASSP, Munich, Germany, Apr. 1997, pp. 1315-1318.
7. T. Hikichi, M. Delcroix, and M. Miyoshi, "Blind dereverberation based on estimates of signal transmission channels without precise information on channel," in Proc. ICASSP, Mar. 2005, pp. 1069-1072.
8. Y. Huang, J. Benesty, and J. Chen, "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. 882-896, Sep. 2005.
9. M. Triki and D. T. M. Slock, "Delay and predict equalization for blind speech dereverberation," in Proc. ICASSP, May 2006, vol. 5, pp. 97-100.
10. K. Furuya, "Noise reduction and dereverberation using correlation matrix based on the multiple-input/output inverse-filtering theorem (MINT)," in Proc. Int. Workshop Hands-Free Speech Commun., Apr. 2001, pp. 59-62.
11. K. Furuya and A. Kataoka, "Dereverberation using speech spectrum whitening filters and correlation matrix between input channels," (in Japanese) IEICE Trans. Fund., vol. J88-A, no. 10, pp. 1089-1099, 2005.
12. K. Lebart and J. M. Boucher, "Anewmethod based on spectral subtraction for speech dereverberation," Acta Acoust., vol. 87, pp. 359-366, 2001.
13. K. Furuya, S. Sakauchi, and A. Kataoka, "Speech dereverberation by combining MINT-based blind deconvolution and modified spectral subtraction," in Proc. ICASSP, May 2006, vol. 1, pp. 813-816.
14. G. Golub and C. Van Loan, Matrix Computation. Baltimore, MD: The Johns Hopkins Univ. Press, 1983.
15. K. Furuya and A. Kataoka, "FFT-based fast conjugate gradient method for real-time dereverberation system," (in Japanese) IEICE Trans. Fund., vol. J89-A, no. 4, pp. 279-290, 2006.
16. Y. Ephraim and D. Malah, "Speech enhancement using a minimum mean square error short-time spectral amplitude estimator," IEEE Trans. Acoust., Speech, Signal Process., vol. 32, pp. 1109-1121, 1984.
17. S. Boll, "Suppression of acoustic noise in speech using spectral subtraction," IEEE Trans. Acoust., Speech, Signal Process., vol. ASSP-27, no. 2, pp. 113-120, Apr. 1979.
18. H. Kuttruff, Room Acoustics, 3rd ed. London, U.K.: Spon, 2000.
19. M. R. Schroeder, "New method of measuring reverberation time," J. Acoust. Soc. Amer., vol. 37, pp. 409-412, 1965.
20. J. D. Johnston, "Transform coding of audio signal using perceptual noise criteria," IEEE J. Select. Areas Commun., vol. 6, no. 2, pp. 314-323, Feb. 1988.
21. D. E. Tsoukalas, J. N. Mourjopoulos, and G. Kokkinakis, "Speech enhancement based on audible noise suppression," IEEE Trans. Speech Audio Process., vol. 5, no. 6, pp. 497-514, Nov. 1997.
22. quot;Absolute category rating (ACR) method," ITU-T, Rec. P.800, Annex B, 1996.