All Issue

2012 Vol.31, Issue 8
30 November 2012. pp. 487-506
Abstract
References
1
E.A.P. Habets, "Single- and multi-microphone speech dereverberation using spectral enhancement," 2007.
10.1109/ICASSP.2007.367216
2
A.K. N ́abˇelek, T.R. Letowski, and F.M. Tucker, "Reverberant overlap-and self-masking in consonant identification,"J. Acoust. Soc. Am., vol. 86, no. 4, pp. 1259-65, 1989.
10.1121/1.3987402808901
3
L.L. Beranek, Concert and opera halls: how they sound, Published for the Acoustical Society of America through the American Institute of Physics, 1996.
10.1121/1.414882
4
L.E. Kinsler, A.R. Frey, A.B. Coppens, and J.V. Sanders, Fundamentals of Acoustics, 4th Edition, pp. 560. ISBN 0-471-84789-5. Wiley-VCH, December 1999.
5
H. Kuttruff, Room acoustics, Taylor &Francis, 2000.
6
M. Miyoshi and Y. Kaneda, "Inversefilteringofroom acoustics,", IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 36, no. 2, pp. 145-152, 1988.
10.1109/29.1509
7
J. Mourjopoulos, P. Clarkson, and J. Hammond, "A comparative study of leastsquares and homomorphic techniques for the inversion of mixed phase signals," IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP'82., vol. 7, pp. 1858- 1861, 1982.
8
S. Treitel and EA Robinson, "The design of high- resolution digital filters," IEEE Transactions on Geoscience Electronics, vol. 4, no. 1, pp. 25-38, 1966.
10.1109/TGE.1966.271203
9
D. Bees, M. Blostein, and P. Kabal, "Reverberant speech enhancement using cepstral processing," International Conference on Acoustics, Speech, and Signal Processing, ICASSP-91., pp. 977-980, 1991.
10.1109/ICASSP.1991.150504
10
RA Kennedy and BD Radlovic, "Iterativecepstrum-based approach for speech dereverberation," Proceedings of the Fifth International Symposium on Signal Processing and Its Applications, ISSPA'99., vol. 1, pp. 55-58, 1999.
11
A.P. Petropulu and S. Subramaniam, "Cepstrumbased deconvolution for speech dereverberation," IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP-94., vol. 1, pp. I-9, 1994.
12
S. Subramaniam, A.P. Petropulu, and C. Wendt, "Cepstrum-based deconvolution for speech derever- beration," IEEE Transactions on Speech and Audio Processing, vol. 4, no. 5, pp. 392-396, 1996.
10.1109/89.536934
13
B. Yegnanarayana, P. Satyanarayana Murthy, C. Avendano, and H. Hermansky, "Enhancement of reverberant speech using lp residual," Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 1, pp. 405-408, 1998.
14
B. Yegnanarayana and P.S. Murthy, Enhancementof reverberant speech using lp residual signal," IEEE Transactions on Speech and Audio Processing, vol. 8, no. 3, pp. 267- 281, 2000.
10.1109/89.841209
15
T. Nakatani, M. Miyoshi, and K. Kinoshita, "Implementation and effects of single channel dereverberation based on the harmonic structure of speech," In Proc. IWAENC2003. Citeseer, 2003.
16
T. Nakatani and M. Miyoshi, "Blind dereverberation of single channel speech signal based on harmonic structure," In Proceedings IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'03), vol. 1, pp. I-92, 2003.
17
T. Nakatani, K. Kinoshita, and M. Miyoshi, "Harmonicity- based blind dereverberation for single-channel speech signals," IEEE Transactions on Audio, Speech, and Language Processing, vol. v15, no. 1, pp. 80-95, 2007.
10.1109/TASL.2006.872620
18
K. Lebart, J.M. Boucher, and PN Denbigh, "A new method based on spectral subtraction for speech dereverberation," Acta Acustica united with Acustica, vol. 87, no. 3, pp.359-366, 2001.
19
E.A.P. Habets, N.D. Gaubitch, and P.A. Naylor, "Temporal selective dereverberation of noisy speech using one microphone," IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2008., pp. 4577-4580, 2008.
10.1109/ICASSP.2008.4518675
20
E.A.P. Habets, S. Gannot, and I. Cohen, "Late reverberant spectral variance estimation based on a statistical model," IEEE Signal Processing Letters, vo. 16, no. 9, pp. 770-773, 2009.
10.1109/LSP.2009.2024791
21
H.W. Lollmann and P. Vary, "A blind speech enhancement algorithm for the suppression of late reverberation and noise," IEEE International Con-ference on Acoustics, Speech and Signal Processing, ICASSP 2009., pp. 3989-3992, 2009.
10.1109/ICASSP.2009.4960502
22
E.A.P. Habets, N.D. Gaubitch, and P.A. Naylor. Temporal selective dereverberation of noisy speech using one microphone. In Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE Inter-national Conference on, pages 4577-4580. IEEE, 2008.
10.1109/ICASSP.2008.4518675
23
J.S. Erkelens and R. Heusdens, "Single-microphone late-reverberation suppression in noisy speech by exploiting long-term correlation in the dft domain," IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2009., pp. 3997-4000, 2009.
10.1109/ICASSP.2009.4960504
24
J.S. Erkelens and R. Heusdens, "Noise and late- reverberation suppression in time-varying acoustical environments," IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), pp. 4706-4709, 2010.
10.1109/ICASSP.2010.5495178
25
Myung-Suk Song and Hong-Goo Kang, "Single-Channel Dereverberation using a Non-Causal MVDR Filter," Journal of the Acoustical Society of America Express Letter, vol. 132, no. 1, pp. 29-35, 2012.
10.1121/1.472217122779569
26
Benesty, J. and Chen, J, Optimal Time-Domain Noise Reduction Filters: A Theoretical Study, vol. 1. Springer-Verlag New York Inc, 2011.
10.1007/978-3-642-19601-0_1
27
Accardi, A.J. and Cox, R.V, "A modular approach to speech enhancement with an application to speech coding," IEEE International Conference on Acoustics, Speech, and Signal Processing, 1999. ICASSP'99., pp. 201-204, 1999.
10.1109/ICASSP.1999.758097
28
Allen, J.B. and Berkley, D.A, "Image method for efficiently simulating small-room acoustics," J. Acoust. Soc. Am, vol. 65, no. 4, pp. 943-950, 1979.
10.1121/1.382599
29
Schroeder, M.R, "New method of measuring reverberation time," The Journal of the Acoustical Society of America, vol. 37, pp. 409, 1965.
10.1121/1.1909343
30
http://dx.doi.org/10.1121/1.1909343
10.1121/1.1909343
31
R. McAulay and M. Malpass, "Speech enhancement using a soft-decision noise suppression filter," IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 28, no. 2, pp. 137-145, 1980.
10.1109/TASSP.1980.1163394
32
I. Cohen and B. Berdugo, "Speech enhancement for non-stationary noise environments," Signal processing, vol. 81, no. 11, pp. 2403-2418, 2001.
10.1016/S0165-1684(01)00128-1
33
http://dx.doi.org/10.1016/S0165-1684(01)00128-1
10.1016/S0165-1684(01)00128-1
34
D. Malah, R.V. Cox, and A.J. Accardi, "Tracking speech-presence uncertainty to improve speech enhancement in non-stationary noise environments," IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP'99., vol. 2, pp. 789- 792, 1999.
10.1109/ICASSP.1999.759789
35
R. Martin, Spectral subtraction based on minimum statistics, EUSIPCO, pp. 6-8, 1994.
36
R. Martin, "Noise power spectral density estimation based on optimal smoothing and minimum statistics," IEEE Transactions on Speech and Audio Processing, vol. 9, no. 5, pp. 504-512, 2001.
10.1109/89.928915
37
I. Cohen and B. Berdugo, "Noise estimation by minima controlled recursive averaging for robust speech enhancement," IEEE Signal Processing Letters, vol. 9, no. 1, pp. 12-15, 2002.
10.1109/97.988717
38
I. Cohen, "Noise spectrum estimation in adverse environments: Improved minima controlled recursive averaging," IEEE Transactions on Speech and Audio Processing, vol. 11, no. 5, pp. 466-475, 2003.
10.1109/TSA.2003.811544
39
Y. Ephraim and D. Malah, "Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator," IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 32, no. 6, pp. 1109-1121, 1984.
10.1109/TASSP.1984.1164453
40
J. Benesty, J. Chen, and E.A.P. Habets, Speech Enhancement in the STFT Domain, Springer Verlag, 2011.
10.1007/978-3-642-23250-322779492
41
J. Benesty and Y. Huang, "A single-channel noise reduction mvdr filter," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 273-276, 2011.
10.1109/ICASSP.2011.5946393
42
A. Varga, H.J.M. Steeneken, "Assessment for automatic speech recognition: II. NOISEX-92: A database and an experiment to study the effect of additive noise on speech recognition systems,"Speech Commun., vol. 12, no. 3, pp. 247-251, 1993.
10.1016/0167-6393(93)90095-3
Information
  • Publisher :The Acoustical Society of Korea
  • Publisher(Ko) :한국음향학회
  • Journal Title :The Journal of the Acoustical Society of Korea
  • Journal Title(Ko) :한국음향학회지
  • Volume : 31
  • No :8
  • Pages :487-506
  • Received Date : 2012-08-14
  • Revised Date : 2012-10-05
  • Accepted Date : 2012-10-22