DocumentCode
477160
Title
A kind of modified speech enhancement algorithm based on wavelet package transformation
Author
Zhang, L.H. ; Rong, G.F.
Author_Institution
Coll. of Telecommun. & Inf. Eng., Nanjing Univ. of Posts & Telecommun., Nanjing
Volume
1
fYear
2008
fDate
30-31 Aug. 2008
Firstpage
421
Lastpage
425
Abstract
The framework of traditional speech enhancement algorithm based on the wavelet package transformation is composed of three parts, which lies in the decomposition to the noisy speech signal based on wavelet package transformation (WPD), the denoising to the coefficients of wavelet decomposition and the reconstruction of the clean speech signal. The proposed algorithm focuses on three points to improve the performance of the traditional speech enhancement algorithm. In the first part, special decomposition of the wavelet package is adopted to mimic the model of the human ears (WPDHE). In the second part, the adaptive thresh estimation (ATHRSH) and the combination of soft threshold and the modified hard threshold functions (CSMHDF) are used. The experiments prove that this algorithm is more sufficient than the traditional speech enhancement algorithm.
Keywords
signal denoising; signal reconstruction; speech enhancement; wavelet transforms; adaptive thresh estimation; hard threshold function; noisy speech signal; signal denoising; soft threshold function; speech enhancement algorithm; speech signal reconstruction; wavelet decomposition; wavelet package transformation; Ear; Frequency conversion; Humans; Information analysis; Noise reduction; Packaging; Pattern analysis; Speech analysis; Speech enhancement; Wavelet analysis; Soft threshold function; Speech enhancement; U-law threshold function; Wavelet package decomposition;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Analysis and Pattern Recognition, 2008. ICWAPR '08. International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-2238-8
Electronic_ISBN
978-1-4244-2239-5
Type
conf
DOI
10.1109/ICWAPR.2008.4635816
Filename
4635816
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