一种基于线性预测和极大似然估计的基音检测算法  

A pitch detection algorithm based on linear predictive and ML method

作　　者：张永亮[1] 鲁宇明[2] 张先庭[1] 杨焱[1] 

机构地区：[1]南昌航空大学电子信息工程学院,南昌330063 [2]南京航空航天大学自动化学院,南京210016

出　　处：《声学技术》2009年第6期768-772,共5页Technical Acoustics

基　　金：南昌航空大学校基金(EC200604057)

摘　　要：用线性预测的方法求出语音信号的LPC(Linear Predictive Coding)谱,然后根据候选的声门激励与LPC谱卷积重构语音信号的短时频谱,当重构频谱与原始语音频谱之间的畸变最小时,声门激励之间的间隔为基音周期。为了提高计算效率,采用频域动态搜索的方法搜索基音周期的候选值。数值实验表明,采用线性预测和极大似燃估计(Maximum Likelihood,ML)的基音检测算法可保留更多的基音信息,并能有效地减少基音检测的错误,并且该算法比传统的ML法有更强的鲁棒性。A robust pitch detection algorithm based on LPC spectrum and ML method is proposed in the paper. Firstly, the LPC spectrum is obtained, and then the short time frequency spectrum is reconstructed based on the convolution of glottis and the LPC spectrum. When the aberration between the reconstructed spectrum and the original frequency spectrum reaches minimum, the interval between excitations of the glottis is the pitch. In order to improve the compu- tational efficiency, the dynamic seeking algorithm is adopted to ensure the probable pitch values. Numerical experiment indicates that the proposed method of pitch detection is effective, more information of pitch is remained and the pitch detection error is reduced effectively. In addition, the method is more robust than the traditional method of ML.

关 键 词：基音检测 线性预测 极大似然估计法 

分 类 号：TN192.3[电子电信—物理电子学]