An Improved MMSE Amplitude Estimator under Generalized Gamma Distribution Based on Auditory Perception
Joint Authors
Boubakir, Chabane
Berkani, Daoud
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-09
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Boubakir, Chabane& Berkani, Daoud. 2013. An Improved MMSE Amplitude Estimator under Generalized Gamma Distribution Based on Auditory Perception. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1010846
Modern Language Association (MLA)
Boubakir, Chabane& Berkani, Daoud. An Improved MMSE Amplitude Estimator under Generalized Gamma Distribution Based on Auditory Perception. Mathematical Problems in Engineering No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-1010846
American Medical Association (AMA)
Boubakir, Chabane& Berkani, Daoud. An Improved MMSE Amplitude Estimator under Generalized Gamma Distribution Based on Auditory Perception. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1010846
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010846