An Effective Signal Processing Method to Musical Information Retrieval

被引：0

作者：

Li Peng ^{[1
]}

Zhou Mingquan ^{[2
]}

Wang Xuesong ^{[1
]}

Li Nansha ^{[2
]}

机构：

[1] Beijing Normal Univ, Sch Educ Technol, Beijing 100875, Peoples R China

[2] Beijing Normal Univ, Coll Informat Sci & Technol, Beijing 100875, Peoples R China

来源：

PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND NATURAL COMPUTING, VOL II | 2009年

基金：

中国国家自然科学基金;

关键词：

MIR; Denoising; Fundamental Frequency; Cabinet Filter; Dynamic Programming Algorithm;

D O I：

10.1109/CINC.2009.22

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, an effective acoustic signal processing method has been presented in research of Musical Information Retrieval (MIR). Firstly, the raw acoustic signal was pretreated by a adaptive wavelet soft-threshold of gain factor and teager energy operator (AWSTD_GF&TEO), then it needs to extract the fundamental frequency form it. Secondly, proposed a new effective "cabinet" method to filter the waveform, after that, the waveform is available compared with the one unfiltered, at last, implemented the retrieval operations with an improved melody representation method and string fuzzy matching method. The evaluation result shows that the AWSTD_GF&TEO and the new "cabinet" method could help to retrieval the object more accurate

引用

页码：280 / +

页数：2

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