加权短时自相关函数的基音周期估计算法.doc

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加权短时自相关函数的基音周期估计算法
沈 瑜,党建武,王阳萍,雷 涛
SHEN Yu, DANG Jianwu, WANG Yangping, LEI Tao
兰州交通大学电子与信息工程学院,兰州 730070
School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
SHEN Yu, DANG Jianwu, WANG Yangping, et al. Weighted autocorrelation function for pitch extraction of speech signals. Computer Engineering and Applications, 2012, 48(35):1-6.
Abstract:The accurate pitch detection is difficult in speech processing. A new weighted pitch detection method
based on Autocorrelation Function(ACF)is proposed. Utilizing that the Average Magnitude Difference Function
(AMDF)has similar characteristics with the ACF, the ACF is weighted by the square of the reciprocal of the AMDF. The pitch contour is smoothed. Experimental results show that the algorithm improves the accuracy of pitch detection. Key words:pitch frequency detection; Autocorrelation Function(ACF); Average Magnitude Difference Function
(AMDF); pitch contour smoothing
摘 要:语音基音频率的准确检测是语音信号处理的难点之一。提出一种加权短时自相关函数(Autocorrela-
tion Function,ACF)算法提取基音频率。在传统的 ACF 方法基础上,利用短时平均幅度差函数(Average Mag- nitude Difference Function,AMDF)的平方对 ACF 函数进行加权,由此加强短时自相关函数在基音周期倍数处的峰值特性。对提取出的基频曲线做平滑处理。实验结果表明,该方法提高了基音周期检测的准确率。关键词:基音频率检测;加权短时自相关函数;短时平均幅度差函数;基频曲线平滑
文献标识码:A
中图分类号:
doi:.1002--0057
1 引言
基音是指发浊音时声带振动所引起的周期性, 基音周期即声带振动频率的倒数。在语音信号处理过程中,基音周期是一个非常重要的参数。通常情况下