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Mathematical Problems in EngineeringVolume 2013 2013, Article ID 821760, 7 pages

Research Article

Department of Electronics, Lamel Laboratory, University of Jijel, P.O. Box 98, Ouled Aissa, 18000 Jijel, Algeria

Department of Electronics, Signal and Communications Laboratory, National Polytechnic School, 10 Avenue Hassen Badi, P.O. Box 182, 16200 El-harrach, Algeria

Received 7 January 2013; Revised 2 March 2013; Accepted 16 March 2013

Academic Editor: Matjaz Perc

Copyright © 2013 Chabane Boubakir and Daoud Berkani. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper describes a new speech enhancement approach which employs the minimum mean square error MMSE estimator based on the generalized gamma distribution of the short-time spectral amplitude STSA of a speech signal. In the proposed approach, the human perceptual auditory masking effect is incorporated into the speech enhancement system. The algorithm is based on a criterion by which the audible noise may be masked rather than being attenuated, thereby reducing the chance of speech distortion. Performance assessment is given to show that our proposal can achieve a more significant noise reduction as compared to the perceptual modification of Wiener filtering and the gamma based MMSE estimator.

Autor: Chabane Boubakir and Daoud Berkani



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