DocumentCode
3211673
Title
Speech enhancement using bionic wavelet transform and adaptive threshold function
Author
Xi, Yang ; Bing-Wu, Liu ; Fang, Yan
Author_Institution
Sch. of Inf., Beijing Wuzi Univ., Beijing, China
Volume
1
fYear
2010
fDate
13-14 Sept. 2010
Firstpage
265
Lastpage
268
Abstract
By the use of the Bionic Wavelet Transform and adaptive threshold function, this paper presents an improved wavelet-based speech enhancement method, Adaptive Bionic Wavelet Speech Enhancement. Due to the integration of human auditory system model into the wavelet transform, the main advantage of the proposed method is that the over thresholding of speech segments which is usually occurred in conventional wavelet-based speech enhancement schemes can be avoided. Then it can track the variation of noisy speech without the estimation of the a priori knowledge of SNR. As a consequence, the enhanced speech quality of the proposed method can be increased substantially from those of conventional approaches.
Keywords
biocybernetics; speech enhancement; wavelet transforms; adaptive bionic wavelet speech enhancement; adaptive threshold function; bionic wavelet transform; enhanced speech quality; human auditory system model; noisy speech; Noise measurement; Production facilities;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-7705-0
Type
conf
DOI
10.1109/CINC.2010.5643844
Filename
5643844
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