Voiced/unvoiced classification and pitch period detection algorithm based on wavelet transform

被引：0
|
作者：
College of Information Science and Engineering, Central South University, Changsha 410083, China [1 ]
机构：
[1] College of Information Science and Engineering, Central South University
来源：
Dianzi Yu Xinxi Xuebao | 2008年 / 2卷 / 353-356期
关键词：
Pitch detection; Spatial correlation function; Teager Energy Operator (TEO); Wavelet transform;
D O I：
10.3724/sp.j.1146.2006.01066
中图分类号：
学科分类号：
摘要：
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).
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页码：353 / 356
页数：3
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