Characterizing resonant component in speech: A different view of tracking fundamental frequency

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• 作者：Bin Dong ^{sagittarius1013@gmail.com}
• 关键词：Speech signal processing ; Hilbert&ndash ; Huang Transform ; Empirical mode decomposition ; Cyclostationarity analysis ; Modulation intensity distribution
• 刊名：Mechanical Systems and Signal Processing
• 出版年：2017
• 出版时间：1 May 2017
• 年：2017
• 卷：88
• 期：Complete
• 页码：318-333
• 全文大小：1808 K
• 卷排序：88

文摘

A new method can accurately estimate the fundamental frequency in speech. Empirical mode decomposition is used to release the nonlinearity in speech. Cyclostationarity analysis detects modulation property in the separated components. The modulation frequency relates to the fundamental frequency of the speech.