计算机工程与科学2017，Vol.39Issue(8)：1525-1529,5.DOI:10.3969/j.issn.1007-130X.2017.08.022
一种基于小波包变换加权自相关的基音检测算法
A weighted autocorrelation method for pitch detection based on wavelet packet transform
摘要
Abstract
Pitch detection in a noisy environment plays an important role in speech signal processing.In order to effectively extract the pitch period in low signal to noise ratio (SNR),we propose a weighted auto correlation method based on wavelet packet transform.We employ the wavelet packet adaptive threshold to eliminate noise signals,and use the summation of approximate components after wavelet packet transform to emphasize the pitch information.Then we use the method of linear prediction error autocorrelation function weighted by wavelet packet coefficients to emphasize the peak of the true pitch period.Compared with the traditional methods based on autocorrelation function or wavelet-weighted,the experiments show that the proposed pitch extraction method has higher accuracy and smoother trajectory of pitch period.Moreover,it is robust when the SNR is-5dB.关键词
基音检测/小波包变换/线性预测误差/自相关函数Key words
pitch detection/wavelet packet transform/linear prediction error/auto correlation function分类
信息技术与安全科学引用本文复制引用
孙婷婷,章小兵..一种基于小波包变换加权自相关的基音检测算法[J].计算机工程与科学,2017,39(8):1525-1529,5.基金项目
安徽工业大学重大产学研项目(RD14206003) （RD14206003）
