Title :
Pitch Detection Algorithm Based on Teager Energy Operator and Spatial Correlation Function
Author :
Chen, Ning ; Hu, Ying
Author_Institution :
Central South Univ., Changsha
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;
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
DOI :
10.1109/ICMLC.2007.4370559