Locally Adaptive Wavelet Thresholding for Speech Enhancement

Kang Liu; Jian Zheng Cheng; Li Cheng

doi:10.4028/www.scientific.net/AMM.380-384.3618

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384Locally Adaptive Wavelet Thresholding for Speech...

Locally Adaptive Wavelet Thresholding for Speech Enhancement

Abstract:

There are strong dependencies between wavelet coefficients of speech signal,in this article,based on that,a new corresponding nonlinear threshold function derived in Bayesian framework is proposed to decrease the effect of the ambient noise.Analysis of the data shows the effectiveness of the proposed method that it removes white noise more effectually and gets better edge preservation.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

3618-3622

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.3618

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Online since:

August 2013

Authors:

Kang Liu, Jian Zheng Cheng, Li Cheng

Keywords:

BayesShrink Denoising, DT-CWT, Inter-Scale Dependency, Intra-Scale Dependency, Speech Enhancement

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