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Wavelet Transformation Application in Speech Signal Processing

TANG Ling1,2,CHENG Jian2(1.School of Automation and Electronic Information,Sichuan University of Science & Engineering,Zigong 643000,China; 2.School of Electronic Engineering,University of Electronic Science and Technology of China,Chengdu 610054,China)  
By the time-frequency analytic feature of wavelet transformation,the appropriate wavelet functions are selected to strengthen,to code,to compress and to extract signal features of speech according to the characteristics of the speech signals.Simulated by Matlab,the strengthened signals,the compression ratio parameter,the energy reservation parameter,the zero coefficient parameter and the speech signal features were obtained.The results show that the speech signal processing based on wavelet transformation exhibits good characteristics.
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