scholarly journals Distributed multichannel speech enhancement based on perceptually‐motivated Bayesian estimators of the spectral amplitude

2013 ◽  
Vol 7 (4) ◽  
pp. 337-344 ◽  
Author(s):  
Marek B. Trawicki ◽  
Michael T. Johnson
Keyword(s):  
Speech Enhancement ◽  
Spectral Amplitude ◽  
Bayesian Estimators

Speech enhancement using generalized weighted β-order spectral amplitude estimator

2014 ◽  
Vol 59 ◽  
pp. 55-68 ◽  
Author(s):  
Feng Deng ◽  
Feng Bao ◽  
Chang-chun Bao
Keyword(s):  
Speech Enhancement ◽  
Spectral Amplitude

scholarly journals An Improved MMSE Amplitude Estimator under Generalized Gamma Distribution Based on Auditory Perception

2013 ◽  
Vol 2013 ◽  
pp. 1-7
Author(s):  
Chabane Boubakir ◽  
Daoud Berkani
Keyword(s):  
Gamma Distribution ◽  
Speech Enhancement ◽  
Minimum Mean Square Error ◽  
Masking Effect ◽  
Spectral Amplitude ◽  
Auditory Masking ◽  
Generalized Gamma Distribution ◽  
Generalized Gamma ◽  
Mmse Estimator ◽  
Short Time

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.

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