FUNDAMENTAL FREQUENCY ESTIMATION FOR MUSIC SIGNALS WITH MODIFIED HILBERT-HUANG TRANSFORM (HHT)

被引：0
|
作者：
Tsau, EnShuo [1 ]
Cho, Namgook
Kuo, C. -C. Jay
机构：
[1] Univ Southern Calif, Ming Hsieh Dept Elect Engn, Los Angeles, CA 90089 USA
来源：
ICME: 2009 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-3 | 2009年
关键词：
music signal processing; pitch analysis; fundamental frequency estimation; Hilbert-Huang transform; emprical mode decomposition;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
In this work, we propose a modified Hilbert-Huang transform (HHT) method to detect low pitch musical signals within a short analysis temporal window for real-time fundamental frequency estimation. HHT is a non-linear method which is suitable for the analysis of non-stationary AM/FM like data. However, to apply HHT directly to music signals encounters several problems. Here, we modify HHT so that it can be tailored to the short-window pitch analysis. It is shown by experimental results that the proposed HHT method performs significantly better than several benchmark schemes.
引用
收藏
页码：338 / +
页数：2
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