基于小波变换的清浊音分类及基音周期检测算法

doi:10.3724/SP.J.1146.2006.01066

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Abstract 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).

Key words： Pitch detection Wavelet transform Teager Energy Operator(TEO) Spatial correlation function

Received: 18 July 2006

PACS:

TN912.3

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	Hu Ying
	Chen Ning

Cite this article:

Hu Ying,Chen Ning. Voiced/Unvoiced Classification and Pitch Period Detection Algorithm Based on Wavelet Transform[J]. , 2008, 30(2): 353-356 .

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http://jeit.ie.ac.cn/EN/10.3724/SP.J.1146.2006.01066 OR http://jeit.ie.ac.cn/EN/Y2008/V30/I2/353

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