Pitch Detection Algorithm Based on Teager Energy Operator and Spatial Correlation Function

Author

Chen, Ning ; Hu, Ying

Author_Institution

Central South Univ., Changsha

Volume

5

fYear

2007

fDate

19-22 Aug. 2007

Firstpage

2456

Lastpage

2460

Abstract

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).

Keywords

speech processing; wavelet transforms; Teager energy operator; autocorrelated function; pitch period detection method; spatial correlation function; voiced regions detection algorithm; wavelet transform; Cybernetics; Detection algorithms; Frequency estimation; Image edge detection; Machine learning; Noise robustness; Smoothing methods; Speech analysis; Speech processing; Wavelet transforms; Lifting wavelet transform; Pitch period detection; Spatial correlation function; Teager energy operator;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2007 International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-0973-0

Electronic_ISBN

978-1-4244-0973-0

Type

conf

DOI

10.1109/ICMLC.2007.4370559

Filename

4370559