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。
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.
出处
《四川理工学院学报（自然科学版）》
CAS
2012年第1期67-70,共4页
Journal of Sichuan University of Science & Engineering(Natural Science Edition)
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
speech signal processing
wavelet transformation
strengthening
de-noising
feature extraction
condensation encode
