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http://dx.doi.org/10.7776/ASK.2013.32.3.279

Global Soft Decision Based on Improved Speech Presence Uncertainty Tracking Method Incorporating Spectral Gradient  

Kim, Jong-Woong (Department of Electronic Engineering, Hanyang University)
Chang, Joon-Hyuk (Department of Electronic Engineering, Hanyang University)
Abstract
In this paper, we propose a novel speech enhancement method to improve the performance of the conventional global soft decision which is based on the spectral gradient method applied to the ratio of a priori speech absence and presence probability value (q). Conventional global soft decision scheme used a fixed value of q in accordance with the hypothesis assumed, but the proposed algorithm is a technique for improving the speech absence probability which is applied adaptively variable value of q according to the speech presence or absence in the previous two frames and the conditions of the spectral gradient value. Experimental results show that the proposed improved global soft decision method based on the spectral gradient method yields better results compared to the conventional global soft decision technique based on the performance criteria of the ITU-T P. 862 PESQ (Perceptual Evaluation of Speech Quality).
Keywords
Global soft decision; Spectral gradient; Value of q;
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1 J.-M. Kum and J.-H. Chang, "Improved global soft decision incorporating second-order conditional MAP in speech enhancement," IEICE Transactions on Information and Systems, 93, 1652-1655 (2010).
2 ITU-T P.862, Perceptual evaluation of speech quality (PESQ), an objective method for end-to-end speech quality assessment of narrowband telephone networks and speech codecs, 2001.
3 Y. Hu and P. Loizou, "Evaluation of objective quality measures for speech enhancement," IEEE Trans. Audio Speech Language Process., 16, 229-238 (2008).   DOI   ScienceOn
4 S. F. Boll, "Suppression of acoustic noise in speech using spectral subtraction," IEEE Trans. on Acoust., Speech, Signal Processing, 27, 113-120 (1979).   DOI
5 J. S. Lim and A. V. Oppenheim, "Enhancement and bandwidth compression of noisy speech," IEEE Trans. on Acoust., Speech, Signal Processing, 67, 1583-1604 (1979).
6 R. J. McAulary and M. L. Malpass, "Speech enhancement using a soft-decision noise suppression filter," IEEE Trans. on Acoust., Speech, Signal Processing, 28, 137-145 (1980).   DOI
7 Y. Ephraim and D. Malah, "Speech enhancement using a minimum mean-square error short-time spectral amplitude estimator," IEEE Trans. on Acoust., Speech, Signal Processing, 32, 1109-1121 (1984).   DOI
8 N. S. Kim and J.-H. Chang, "Spectral enhancement based on global soft decision," IEEE Signal Processing Letters, 7, 108-110 (2000).   DOI   ScienceOn
9 D. Malah, R. Cox and A.J. Accardi, "Tracking speech-presence uncertainty to improve speech enhancement in nonstationary noise environments," Proc. IEEE Int. Conf. Acoust. Speech Signal Process., 789-792 (1999).
10 W. Lee, J.-H. Song, and J.-H. Chang, "Minima-controlled speech presence uncertainty tracking method for speech enhancement," Signal Processing, 91, 155-161 (2011).   DOI   ScienceOn
11 S.-K. Kim and J.-H. Chang, "Voice activity detection based on conditional MAP criterion incorporating the spectral gradient," Signal Processing, 92, 1699-1705 (2012).   DOI   ScienceOn