基于复解析子波变换（CAWT）的汉语语音谱图

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。本文将复解析子波复换应用于汉语语的谱分析中，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，谱图中的语音形态为进一步的语音识别提供了一种新的途径。

Chinese Spectrogram Based on Complex Analytical Wavelet Transform (CAWT)

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.