Pitch Detection Using EMD-Based AMDF

被引：0

作者：

Zong, Yuan ^{[1
]}

Zeng, Yumin ^{[1
]}

Li, Mengchao ^{[1
]}

Zheng, Rui ^{[1
]}

机构：

[1] Nanjing Normal Univ, Sch Phys & Technol, Nanjing 210023, Jiangsu, Peoples R China

来源：

PROCEEDINGS OF THE 2013 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP) | 2013年

关键词：

pitch detection; AMDF; EMD; EMDAMDF;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a new modified average magnitude difference function (AMDF) based on empirical mode decomposition (EMD) for pitch detection. We call it EMD-based AMDF (EMDAMDF). EMDAMDF inherits lots of advantages successfully from the conventional AMDF and eliminates the falling trend of the AMDF adaptively by means of EMD. Based on EMDAMDF, an effective pitch detection algorithm is proposed. The simulated results on Keele pitch reference database shows that the performance of the proposed EMDAMDF based pitch detection algorithm is obviously better than the original AMDF and its improvements (such as CAMDF and EAMDF) based algorithms.

引用

页码：594 / 597

页数：4

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