摘要
复解析子波变换 (CAWT)紧密地将希尔伯特变换 (HT)与子波变换 (WT)结合在一起 ,在信号分析处理方面具有良好的表现。本文将复解析子波变换应用于汉语语音的谱分析中 ,实验结果表明 ,文中所构造的复子波语音谱图可以清晰地表征汉语语音的动态谱结构 。
The method for complex analytical wavelet transform (CAWT) has some advantages in signal processing, and it associates Hilbert transform (HT) and wavelet transform (WT) optimally. Applying CAWT to the spectrum analysis of Chinese speech, this paper presents a new spectrogram--complex wavelet speech spectrogram (CWSS) and the simulational results show that CWSS is particularly effective in analyzing the signal of Chinese speech. Extracting the speech morphology from the CWSS, the speech morphology is helpful in the Chinese speech recognition.
出处
《数据采集与处理》
CSCD
2001年第4期494-497,共4页
Journal of Data Acquisition and Processing
关键词
复解析子波变换
语音形态
语音信号处理
汉语语音谱图
语音识别
complex analytical wavelet transform (CAWT)
complex wavelet speech spectrogram(CWSS)
speech morphology
