基于线性预测和最大似然的基音检测算法  

Pitch detection algorithm based on LPC and maximum likelihood

作　　者：李晋[1] 王玲[1] 

机构地区：[1]湖南师范大学工学院,湖南长沙410081

出　　处：《计算机应用》2006年第5期1232-1233,1236,共3页journal of Computer Applications

摘　　要：根据语音信号产生机理,结合常用的线性预测和最大似然法,提出了一种有效的基音检测算法。该算法采用频域分块估计候选基音周期的范围,提高了算法的计算速度。仿真实验表明,该算法与传统方法相比其基音检测结果有明显的改善,克服了随机错误及倍频、半频错误,并且在低信噪比下鲁棒性较好。According to the mechanism of speech signal, an effective pitch detection algorithm by combined liner predictive coding with maximum likelihood was proposed. The algorithm adopts frequency partition to estimate the range of pitch period, improving the computational speed. Simulation experiments show that the pitch extracting results of the algorithm are superior to that of the conventional algorithms, overcoming the random errors and multiple or half frequency errors, especially robust at low SNR.

关 键 词：线性预测编码 最大似然 基音检测 

分 类 号：TP37[自动化与计算机技术—计算机系统结构]