| 小波变换在语音信号处理上的应用 |
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| 引用本文： | 唐玲,程建.小波变换在语音信号处理上的应用[J].四川理工学院学报(自然科学版),2012(1):67-70. |
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| 作者姓名： | 唐玲 程建 |
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| 作者单位： | 四川理工学院自动化与电子信息学院;电子科技大学电子工程学院 |
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| 摘 要： | 利用小波的多分辨率分析,以及其良好的空间域和频率域局部化特点,针对语音信号特征,选取适当的小波算法进行去噪和增强语音,压缩编码,提取语音信号特征等处理。通过Matlab仿真分析,得到增强后的信号图和压缩后的压缩比参数、能量保留参数、零系数比例系数,提取的信号特征。结果表明,基于小波变换的语音信号处理表现出良好的特性。
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| 关 键 词： | 语音信号处理 小波变换 去噪 增强 压缩编码 特征提取 |
Wavelet Transformation Application in Speech Signal Processing |
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| TANG Ling,CHENG Jian.Wavelet Transformation Application in Speech Signal Processing[J].Journal of Sichuan University of Science & Engineering:Natural Science Editton,2012(1):67-70. |
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| Authors: | TANG Ling CHENG Jian |
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| Institution: | 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) |
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| Abstract: | 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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| Keywords: | speech signal processing wavelet transformation strengthening de-noising feature extraction condensation encode |
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