Research of Enhanced Speech Signal Based on MATLAB Simulation Platform

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Abstract:

Although traditional algorithms can led to suppressed voice in the noise, but the distortion of the voice is inevitable. An introduction is made as to the speech signal enhancement with an improved threshold method. Compared MATLAB experimental simulation on simulated platform with traditional enhanced algorithm, this paper aims to verify this method can effectively remove the noise in the signal, enhanced voice quality, improve speech intelligibility, and achieve the effect of the enhanced speech signal.

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1124-1128

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January 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Mallat S.HwangWL.Singularity detection and processing with wavelets[J].IEEE Transaction on Information Theory,1992,38(2):617-643.

Google Scholar

[2] Donoho D L, Johnstone I M. Ideal spatial adaption via wavelet wavelet shrinkage [J]. Biometrika, 1994, 81(3): 425-455.

DOI: 10.1093/biomet/81.3.425

Google Scholar

[3] Donoho D L. Denoising by soft-thresholding [J]. IEEE Transaction on Information, 1995, 41(3): 613 -627.

Google Scholar

[4] Zhao Weilian. Threshold denoising of speech signal based on wavelet transform [J]. Journal of Chongqing Science and Technology College, 2005, 7 (4), 6-8.

Google Scholar

[5] Ye Yulei, Dai Wenzhan. Wavelet signal denoising methods based on new threshold function [J]. Journal of Computer Applications, 2006, 26 (7) : 25-27.

Google Scholar

[6] Zhang Fei, Denoising purification method of a voice signal based on wavelet transform [J]. Electronic measuring technology, 2009, 32 (6) : 68-71.

Google Scholar

[7] Ma Xiaohong, Song Hui, Yin Fuliang. The new method of enhancement in adaptive wavelet thresholding voice [J]. Journal of Dalian University of Technology, 2006, 46 (4) : 561-566.

Google Scholar

[8] Zhang Hao. Voice digital signal enhancement processing and Matlab [J]. Communication technology, 2009, 42 (01) : 280-281.

Google Scholar

[9] Li Yu, Yu Feng-Qin, Fan Shukai. Based on improved noise variance estimated wavelet thresholding voice enhancement [J]. Electro-acoustic technology, 2008, 32 (3) : 56-58.

Google Scholar

[10] Su Qin. Multi-scale multi-threshold denoising speech signal based on wavelet transform [J]. Journal of Suzhou University, 2003, 23 (6).

Google Scholar