基于小波变换的语音信号基音周期估计

基音周期是语音信号最重要的参数之一，是进行语音信号数字处理的基础。小波变换具有良好的时频分辨率，为语音信号基音周期提取提供了新的途径。基于小波变换及其多尺度边缘检测的基本特性，阐述了语音信号基音周期估计的原理、实现方法、算法流程；并给出了实验结果。实验表明：该方法可以实现大动态范围的语音信号基音周期估计计算，并可获得满足实用的较为精确的结果。

Calculation of Speech Signal Pitch Period Based on Wavelet Transform

Pitch period is one of the most important parameters, and it is the basis of digital speech processing. In recent years, wavelet transform has developed quickly. It has good time frequency characteristics, and so provides a new way for pitch period calculation. Based on wavelet transform and its multi scale of edge detection, the paper introduces the theory, material realization of pitch period calculation, draws arithmetic flowchart, and discusses the results of experiments. Experiments show that the method can realize pitch period calculation for all kinds of speech signal and can get good results.