Correlation-based and model-based blind single-channel late-reverberation suppression in noisy time-varying acoustical environments

IEEE Transactions on Audio, Speech and Language Processing

Volumn 18, Issue 7, 2010, Pages 1746-1765

  Erkelens, Jan S ^a   Heusdens, Richard ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Discrete Fourier transform (DFT) based speech enhancement

Indexed keywords

BLIND ESTIMATIONS; ENHANCEMENT ALGORITHMS; LONG-TERM CORRELATIONS; MODEL PARAMETERS; MODEL-BASED; MODEL-BASED METHOD; MODELING ERRORS; NONSTATIONARY NOISE; ONE STEP; REVERBERATION TIME; ROOM IMPULSE RESPONSE; SIMPLE EXPRESSION; SINGLE-CHANNEL; SPEECH RECORDING; STATISTICAL MODELS; STOCHASTIC PROCESS; TIME INVARIANTS; TIME VARIATIONS; TIME VARYING;

ARCHITECTURAL ACOUSTICS; BLOCK CODES; CORRELATION METHODS; DISCRETE FOURIER TRANSFORMS; ESTIMATION; RANDOM PROCESSES; SPEECH ENHANCEMENT; STOCHASTIC MODELS; TIME VARYING SYSTEMS;

REVERBERATION;

EID: 77955680097     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASL.2010.2051271     Document Type: Article

References (50)

1. J. S. Erkelens and R. Heusdens, "Single-microphone late-reverberation suppression in noisy speech by exploiting long-term correlation in the DFT domain," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., 2009, pp. 3997-4000.
2. J. S. Erkelens and R. Heusdens, "Noise and late-reverberation suppression in time-varying acoustical environments," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., 2010, pp. 4706-4709.
3. H. J. M. Steeneken and T. Houtgast, "A physical method for measuring speech-transmission quality," J. Acoust. Soc. Amer., vol.67, no.1, pp. 318-326, Jan. 1980.
4. R. Ratnam, D. L. Jones, B. C. Wheeler, W. D. O'Brien, Jr., C. R. Lansing, and A. S. Feng, "Blind estimation of reverberation time," J. Acoust. Soc. Amer., vol.114, no.5, pp. 2877-2892, Nov. 2003.
5. P. A. Naylor and N. D. Gaubitch, "Speech dereverberation," in Proc. Int. Workshop, Acoust. Echo Noise Control, 2005.
6. B. W. Gillespie and L. E. Atlas, "Acoustic diversity for improved speech recognition in reverberant environments," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., 2002, vol.I, pp. 557-560.
7. T. Nakatani, K. Kinoshita, and M. Miyoshi, "Harmonicity-based blind dereverberation for single-channel speech signals," IEEE Trans. Audio, Speech Lang. Process., vol.15, no.1, pp. 80-95, Jan. 2007.
8. S. Thomas, S. Ganapathy, and H. Hermanski, "Recognition of reverberant speech using frequency domain linear prediction," IEEE Signal Process. Lett., vol.15, pp. 681-684, 2008.
9. Microphone Arrays, M. Brandstein and D. Ward, Eds. New York: Springer, 2001.
10. M. Delcroix, T. Hikichi, and M. Miyoshi, "Precise dereverberation using multichannel linear prediction," IEEE Trans. Audio, Speech, Lang. Process., vol.15, no.2, pp. 430-440, Feb. 2007.
11. K. Kinoshita, M. Delcroix, T. Nakatani, and M. Miyoshi, "Suppression of late reverberation effect on speech signal using long-term multiplestep linear prediction," IEEE Trans. Audio, Speech Lang. Process., vol.17, no.4, pp. 534-545, May 2009.
12. B. W. Gillespie, H. S. Malvar, and D. A. F. Floréncio, "Speech dereverberation via maximum-kurtosis subband adaptive filtering," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., 2001, pp. 3701-3704.
13. T. Hikichi, M. Delcroix, and M. Miyoshi, "On robust inverse filter design for room transfer function fluctuations," in Proc. Eur. Signal Process. Conf. (EUSIPCO), Sep. 2006.
14. I. Ram, E. A. P. Habets, Y. Avargel, and I. Cohen, "Multi-microphone speech dereverberation using LIME and least squares filtering," in Proc. Eur. Signal Process. Conf. (EUSIPCO), Aug. 2008, pp. 25-29.
15. 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.
16. T. Yoshioka, H. Tachibana, T. Nakatani, and M. Miyoshi, "Adaptive dereverberation of speech signals with speaker-position change detection," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., Apr. 2009, pp. 3733-3736.
17. K. Furuya and A. Kataoka, "Robust speech dereverberation using multichannel blind deconvolution with spectral subtraction," IEEE Trans. Audio, Speech, Lang. Process., vol.15, no.5, pp. 1579-1591, Jul. 2007.
18. 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.
19. Speech Enhancement, J. Benesty, S. Makino, and J. Chen, Eds. : Springer, 2005.
20. Y. Ephraim and I. Cohen, "Recent advancements in speech enhancement," in The Electrical Engineering Handbook. Boca Raton, FL: CRC, 2006.
21. P. Vary and R. Martin, Digital Speech Transmission. New York: Wiley, 2006.
22. P. C. Loizou, Speech Enhancement. Theory and Practice. Boca Raton, FL: CRC, 2007.
23. M. Unoki, M. Furukawa, K. Sakata, and M. Akagi, "A method based on the MTF concept for dereverberating the power envelope from the reverberant signal," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., Apr. 2003, pp. 888-891.
24. B. Yegnanarayana and P. S. Murthy, "Enhancement of reverberant speech using LP residual signal," IEEE Trans. Speech, Audio Process., vol.8, no.3, pp. 267-281, May 2000.
25. E. A. P. Habets, N. D. Gaubitch, and P. A. Naylor, "Temporal selective dereverberation of noisy speech using one microphone," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., 2008, pp. 4577-4580.
26. T. Nakatani, T. Yoshioka, K. Kinoshita, M. Miyoshi, and B.-H. Juang, "Real-time speech enhancement in noisy reverberant multi-talker environments based on a location-independent room acoustics model," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., 2009, pp. 137-140.
27. K. Lebart, J. M. Boucher, and P. N. Denbigh, "A new method based on spectral subtraction for speech dereverberation," Acta Acust., vol.87, no.3, pp. 359-366, 2001.
28. E. A. P. Habets, "Single- and multi-microphone speech dereverberation using spectral enhancement," Ph.D. dissertation, Eindhoven Univ. of Techn., Eindhoven, The Netherlands, 2007.
29. E. A. P. Habets, S. Gannot, and I. Cohen, "Late reverberant spectral variance estimation based on a statistical model," IEEE Signal Process. Lett., vol.16, no.9, pp. 770-773, Sep. 2009.
30. J. Y. C. Wen, E. A. P. Habets, and P. A. Naylor, "Blind estimation of reverberation time based on the distribution of signal decay rates," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., 2008, pp. 329-332.
31. H. W. Löllman and P. Vary, "Estimation of the reverberation time in noisy environments," in Proc. Int. Workshop, Acoust. Echo and Noise Control, 2008.
32. E. A. P. Habets, "Multi-channel speech dereverberation based on a statistical model of late reverberation," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., 2005, pp. 173-176.
33. Advances in Network and Acoustic Echo Cancellation, J. Benesty, T. Gänsler, D. R.Morgan, M. M. Sondhi, and S. L. Gay, Eds. New York: Springer, 2001.
34. H. Kuttruff, Room Acoustics, 4th ed. London, U.K.: Spon, 2000.
35. M. R. Schroeder, "New method of measuring reverberation time," J. Acoust. Soc. Amer., vol.37, no.6, pp. 1187-1188, Jun. 1965.
36. J. S. Erkelens and R. Heusdens, "Tracking of nonstationary noise based on data-driven recursive noise power estimation," IEEE Trans. Audio, Speech, Lang. Process. vol.16, no.6, pp. 1112-1123, Aug. 2008.
37. I. Cohen, "Relaxed statistical model for speech enhancement and a priori SNR estimation," IEEE Trans. Speech Audio Process., vol.13, no.5, pp. 870-881, Sep. 2005. (Pubitemid 41558902)
38. J. B. Allen and D. A. Berkley, "Image method for efficiently simulating small-room acoustics," J. Acoust. Soc. Amer., vol.65, no.4, pp. 943-950, 1979.
39. Room Impulse Response Generator for Matlab. [Online]. Available: http://home.tiscali.nl/ehabets/rir-generator.html
40. Y. Avargel and I. Cohen, "System identification in the short-time Fourier transform domain with crossband filtering," IEEE Trans. Audio, Speech, Lang. Process., vol.15, no.4, pp. 1305-1319, May 2007.
41. E. A. P. Habets, S. Gannot, and I. Cohen, "Speech dereverberation using backward estimation of the late reverberant spectral variance," in Proc. IEEEI Conf., Dec. 2008.
42. J. S. Erkelens, J. Jensen, and R. Heusdens, "A data-driven approach to optimizing spectral speech enhancement methods for various error criteria," Speech Commun. Special Iss. Speech Enhance., vol.49, pp. 530-541, Jul.-Aug. 2007.
43. J. S. Erkelens, J. Jensen, and R. Heusdens, "Speech enhancement based on Rayleigh mixture modeling of speech spectral amplitude distributions," in Proc. Eur. Signal Process. Conf. (EUSIPCO), 2007, pp. 65-69.
44. 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.ASSP-32, no.6, pp. 1109-1121, Dec. 1984.
45. M. Jeub, M. Schäfer, and P. Vary, "A binaural room impulse response database for the evaluation of dereverberation algorithms," in Proc. 16th Int. Conf. Digital Signal Process. (DSP), Santorini, Greece, 2009.
46. H. W. Löllman and P. Vary, "A blind speech enhancement algorithm for the suppression of late reverberation and noise," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., 2009, pp. 3989-3992.
47. J. S. Erkelens, R. C. Hendriks, R. Heusdens, and J. Jensen, "Minimum mean-square error estimation of discrete Fourier coefficients with generalized Gamma priors," IEEE Trans. Audio, Speech, Lang. Process., vol.15, no.6, pp. 1741-1752, Aug. 2007.
48. W. Yang, "Enhanced modified bark spectral distortion (EMBSD)" Ph.D. dissertation, Temple Univ., Philadelphia, PA, 1999 [Online]. Available: http://www.temple.edu/speech-lab/Wonhos-Dissertation.pdf.
49. J. Timoney, Th. Lysaght, M. Schoenweiser, and L. MacManus, "Implementing loudness models in Matlab," in Proc. Int. Conf. Digital Audio Effects, Italy, Oct. 2004, pp. 177-180.
50. M. Wu and D. Wang, "A two-stage algorithm for one-microphone reverberant speech enhancement," IEEE Trans. Audio, Speech, Lang. Process., vol.14, no.3, pp. 774-784, May 2006.