Browse > Article

Improved Global-Soft Decision Incorporating Second-Order Conditional MAP for Speech Enhancement  

Kum, Jong-Mo (인하대학교 전자공학과 DSP연구실)
Chang, Joon-Hyuk (인하대학교 전자공학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.34, no.6C, 2009 , pp. 588-592 More about this Journal
Abstract
In this paper, we propose a novel method to improve the performance of the global soft decision which is based on the second-order conditional maximum a posteriori (CMAP). Conventional global soft decision scheme has an disadvantage in that the speech absence probability adjusted by a fixed-parameter was sensitive to the various noise environments. In proposed approach using the second-order CMAP, speech absence probability value is more flexible which exploit not only the current observation but also the speech activity decisions in the previous two frames. Experimental results show that the proposed improved global soft decision method based on second-order conditional MAP yields better results compared to the conventional global soft decision technique with the performance criteria of the ITU-T P. 862 perceptual evaluation of speech quality (PESQ).
Keywords
Speech Enhancement; Global Soft Decision; Second-order Conditional Maximum a posteriori (Second-order CMAP);
Citations & Related Records
연도 인용수 순위
  • Reference
1 J. S. Lim, A. V. Oppenheim, 'Enhancement and bandwidth compression of noisy speech,' IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 67, pp. 1583-1604, Dec. 1979
2 R. J. McAulary and M. L. Malpass, 'Speech enhancement using a soft-decision noise suppression filter,' IEEE Transactions on Acoustics, Speech and Signal Processing, vol.28, pp. 137-145, Apr. 1980   DOI
3 P. Scalart and J. Wieira Filho, 'Speech Enhancement based on a priori signal to noise estimation,' in Proc. ICASSP, Atlanta,U.S.A., pp. 629-632, May 1996
4 Y. Ephraim and D. Malah, 'Speech enhancement using a minimum mean-squareerror short-time spectral amplitude estimator,' IEEE Transactions on Acoustics, Speech and Signal Processing, vol. ASSP-32, no. 6, pp.1109-1121, Dec. 1984   DOI
5 I. Cohen, 'Speech enhancement using a noncausal a priori SNR estimator,' IEEE Signal Processing Letters, vol. 11, no. 9, pp725-728, Sep. 2004   DOI   ScienceOn
6 J.-H. Chang, Q.-H. Jo, D. K. Kim and N. S.Kim, 'Global soft decision employing support vector machine for speech enhancement,' IEEE Signal Processing Letters, vol. 16, pp.57-60, Jan. 2009   DOI   ScienceOn
7 S. F. Boll, 'Suppression of acoustic noise in speech using spectral subtraction,' IEEE Transactions on Acoustics, Speech and Signal Processing, vol. ASSP-27, no. 2, pp.113-120, Apr. 1979
8 ITU-T P.862, Perceptual evaluation of speechquality (PESQ), an objective method forend-to-end speech quality assessment of narrow band telephone networks and speech codecs, 2001
9 J. W. Shin, H. J. Kwon, S. H. Jin and N. S.Kim, 'Voice activity detection based on conditional MAP criterion,' IEEE SignalProcessing Letters, vol. 15, pp. 257-260, Feb.2008   DOI   ScienceOn
10 J.-M. Kum, J.-H. Chang, 'Speech Enhancement Based on Minima Controlled Recursive Averaging Incorporating Second-Order Conditional MAP Criterion,' IEEE Signal Processing Letters,vol. 16, pp. 624-627, July, 2009   DOI   ScienceOn
11 N. S. Kim and J.-H. Chang, 'Spectral enhancement based on global soft decision,' IEEE Signal Processing Letters, vol. 7, no. 5, pp. 108-110, May 2000   DOI   ScienceOn