Pitch detection algorithm based on Teager energy operator and spatial correlation function

被引：0
|
作者：
Chen, Ning [1 ]
Hu, Ying [1 ]
机构：
[1] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Peoples R China
来源：
PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2007年
关键词：
lifting wavelet transform; pitch period detection; Teager energy operator; spatial correlation function;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An effective pitch period detection method combining Teager energy operator (TEO) with spatial correlation function is proposed. A voiced regions detection (VRD) algorithm based on lifting 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 the proposed algorithm has a better robustness and more precision compared with the classical wavelet-based methods and auto-correlated function (ACF).
引用
收藏
页码：2456 / 2460
页数：5
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