Music Genre Classification by Analyzing the Subband Spectrogram

被引：0

作者：

Chou, Chih-Hsun ^{[1
]}

Liao, Bo-Jun ^{[1
]}

机构：

[1] Chung Hua Univ, Dept Comp Sci & Informat Engn, Hsinchu, Taiwan

来源：

2014 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE, ELECTRONICS AND ELECTRICAL ENGINEERING (ISEEE), VOLS 1-3 | 2014年

关键词：

music genre classification; wavelet packet decomposition; spectrogram; singular value decomposition; NONNEGATIVE MATRIX FACTORIZATION; FEATURE-EXTRACTION; FEATURES;

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：

In this study, music genre classification based on the characteristics of spectrogram was studied. In the proposed method, the capability of multi-resolution analysis of the wavelet package decomposition (WPD) as well as the dimension reduction ability of the singular value decomposition (SVD) was integrated to extract the desired features. Experimental results with the well-known ISMIR 2004 and GTZAN database were used to verify the performance of the proposed method.

引用

页码：1676 / +

页数：2

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