计算机工程与应用Issue(1)：204-207,227,5.DOI:10.3778/j.issn.1002-8331.1302-0140
基音周期检测的希尔伯特-黄变换方法
Pitch detection method based on Hilbert-Huang transform for speech sig- nal
摘要
Abstract
According to the non-stationary and nonlinear time-varying characteristics of speech signal, a speech pitch detection method based on Hilbert-Huang transform is presented. It is unnecessary to assume that pitch period is stationary with in any segment, it can decompose signal adaptively and possess high time-frequency resolution(not subject to Heisenberg uncertainty principle). Firstly, it uses the short-time energy to judge voice and unvoice, then the signal is decom-posed into a number of intrinsic mode functions, with Hilbert transform, the instantaneous frequency and instantaneous amplitude of each intrinsic mode function are obtained, the components of the intrinsic mode functions are weighted to emphasize the fundamental frequency information according to the characteristics of pitch, lastly, the square of the auto-correlation is used to detect the pitch. Experiments show that compared with the classical methods, the proposed method provides a higher precision and better robustness.关键词
基音检测/希尔伯特-黄变换/经验模态分解Key words
pitch detection/Hilbert-Huang transformation/empirical mode decomposition分类
信息技术与安全科学引用本文复制引用
焦蓓,曾以成,毛燕湖..基音周期检测的希尔伯特-黄变换方法[J].计算机工程与应用,2015,(1):204-207,227,5.基金项目
湖南省自然科学基金（No.08JJ5031）。 （）
