基于小波变换的清浊音分类及基音周期检测算法  

Voiced/Unvoiced Classification and Pitch Period Detection Algorithm Based on Wavelet Transform

作　　者：胡瑛[1] 陈宁[1] 

机构地区：[1]中南大学信息科学与工程学院,长沙410083

出　　处：《电子与信息学报》2008年第2期353-356,共4页Journal of Electronics & Information Technology

基　　金：中国博士后科学基金项目(20060390883)

摘　　要：该文提出了一种基于小波变换的鲁棒性基音周期检测方法。检测前在小波域上用Teager能量算子对语音信号进行清浊音判决,对浊音段采用空域相关函数提取基音周期。实验表明,与传统的小波变换算法和自相关法相比,该方法鲁棒性好,具有更高的准确性。This paper proposes a robust pitch period detection method based on wavelet transformation. A Voiced Regions Detection（VRD）algorithm based on wavelet transform and Teager energy operator is proposed firstly. Then an algorithm based on spatial correlation function for estimating pitch frequency only in voiced regions is presented. Experiments show that this algorithm has a better robustness and more precision compared with the classical wavelet-based methods and auto-correlated function （ACF）.

关 键 词：基音检测 小波变换 TEAGER能量算子 空域相关函数 

分 类 号：TN912.3[电子电信—通信与信息系统]