离散小波变换（DWT）在语音处理中的应用

DISCRETE WAVELET TRANSFORM(DWT)AND APPLICATION IN SPEECH SIGNAL PROCESSING

针对语音处理问题对离散小波变换及其性质进行了研究，给出了作为语音处理的小波函数及时间因子（ａ，ｂ）必须满足的条件．利用离散小波变换对语音信号的基音提取、频谱分析和清／浊音分割进行了分析．结果表明，小波变换能准确地提取基音和清／浊音分割，并具有较好的稳健性．

The discrete wavelet transform(DWT)and its properties are studied when DWT isapplied to speech signal processing.Conditions that DWT must satisfy on time scale parameters(a,b),shape and etc,,are given,Extraction of pitch periods,spectral analysis and voiced/unvoiced sectionseparation of speech signals were carried out using DWT. Results showed that DWT can detect pitchperiods and discrimicate voiced and unvoiced sections more accuretely and robustly,compared withother methods.