四川理工学院学报：自然科学版2012，Vol.25Issue(1)：67-70,4.
小波变换在语音信号处理上的应用
Wavelet Transformation Application in Speech Signal Processing
唐玲 1程建2
作者信息
- 1. 四川理工学院自动化与电子信息学院,四川自贡643000／电子科技大学电子工程学院,成都610054
- 2. 电子科技大学电子工程学院,成都610054
- 折叠
摘要
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.关键词
语音信号处理川/波变换/去噪/增强/压缩编码/特征提取Key words
speech signal processing/wavelet transformation/strengthening/de-noising/feature extraction/condensation encode分类
通用工业技术引用本文复制引用
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,2012,25(1):67-70,4.
