摘要
介绍一种基音检测的新方法。该算法首先对分帧语音采用Burg算法进行LPC分析,获取最佳预测系数构造逆滤波器;然后通过逆滤波得到预测误差序列代替原输入语音序列进行倒谱分析;最后在恰当的范围里测出最大峰值,进行基音检测。实验结果表明,与传统方法相比,该方法鲁棒性好,在信噪比低的情况下仍可获得较高的准确率。
A new algorithm of pitch extraction is proposed.In this algorithm,LPC analysis of segmented speech by Burg algorithm is performed to construct inverse filter with the best predictor coefficient.Then cepstrum analysis is proceeded by replacing the former speech sequence with the LPC prediction error sequence,and the maximum peak is tested in an appropriate scope to detect the speech pitch.The experimental results indicate that the proposed pitch extraction method is feasible and more robustly than the conventional method.Using the improved algorithm,a high accuracy can be obtained at low signal-to-noise ratio.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第15期158-159,172,共3页
Computer Engineering and Applications
基金
湖南省教育厅资助科研项目(No.06C517)
关键词
基音
线性预测编码
倒谱
预测误差
Burg算法
pitch
Linear Prediction Coding（LPC ）
cepstrum
predictive pesidual
Burg algorithm
作者简介
朱颖（1983-），男，硕士研究生，研究方向为语音信号处理；
E-mail： shyqian@hunnu.edu.cn钱盛友（1965-），男，教授，博导，通讯作者，研究方向为信号检测与处理及智能仪器等。
