摘要
复解析子波变换 (CAWT)将希尔伯特变换 (HT)与子波变换 (WT)紧密地结合在一起 ,在信号处理方面具有良好的表现。本文将复解析子波变换应用于语音信号的包络提取中 ,数字仿真结果表明 ,该方法优于传统的希尔伯特变换法 。
The method of CAWT (Complex analytical wavelet transfor m) associated with Hilbert transform (HT) and wavelet transform (WT) has some ad vantages in signal processing optimally. Applying CAWT to the envelop extract ion of Chinese speech, simulational results show that the CAWT is superior to the conventional HT. The finding of syllable envelop head gives a new criter ia to Chinese speech recognition.
出处
《数据采集与处理》
CSCD
2001年第3期334-337,共4页
Journal of Data Acquisition and Processing
关键词
语音信号包络提取
汉语音节包络头
音节识别
子波变换
complex analytical wavelet transform(CAWT)
H ilbert transform (HT)
syllable envelop head
