根据语音信号的基音周期范围有限和在声门闭合时刻语音信号出现锐变的特点 ,提出一种基于前置滤波和小波变换的基音周期检测方法。带噪语音信号经过 3阶椭圆低通滤波器滤波后 ,采用以二次样条小波作为小波函数 ,进行一级小波变换检测语音信号的锐变点 ,再计算基音周期。实验表明 ,本文提出的基音周期检测方法 ,与平均幅度差函数 ( AMDF)和自相关函数 ( ACF)方法相比 ,提高了提取基音周期的准确率 ;与多尺度小波变换的基音周期检测方法相比 ,减小了计算量 ,削弱了噪声信号和语音的共振峰对基音周期检测的影响 According to the limited pitch cycle of speech signal and the sharp change of speech signal at the time of glottal closure, a pitch detection method based on pre-filter and wavelet transform is proposed. After the noisy speech signal is filtered by the third-order elliptic low-pass filter, the first-order wavelet transform is used to detect the sharp point of the speech signal by using the second-order spline wavelet as a wavelet function, and then the pitch period is calculated. Experiments show that the pitch detection method proposed in this paper improves the accuracy of the extracted pitch period compared with the average amplitude difference function (AMDF) and the autocorrelation function (ACF) method. Compared with the pitch detection method of multi-scale wavelet transform Ratio, reducing the amount of calculation, weakening the impact of the noise signal and the formant of the speech on the pitch period detection