EXPLOITING GENRE FOR MUSIC EMOTION CLASSIFICATION

被引：0

作者：

Lin, Yu-Ching ^{[1
]}

Yang, Yi-Hsuan ^{[1
]}

Chen, Homer H. ^{[1
]}

Liao, I-Bin ^{[2
]}

Ho, Yeh-Chin ^{[2
]}

机构：

[1] Natl Taiwan Univ, Taipei, Taiwan

[2] Chunghwa Telecom, Telecommun Lab, Taipei, Taiwan

来源：

ICME: 2009 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-3 | 2009年

关键词：

Music genre classification; association analysis; music emotion classification;

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：

Genre and emotion have been applied to content-based music retrieval and organization; however, the intrinsic correlation between them has not been explored. In this paper we present a statistical association analysis to examine such intrinsic correlation and propose a two-layer scheme that exploits the correlation for emotion classification. Significant improvement of classification accuracy over the traditional single-layer scheme is obtained.

引用

页码：618 / +

页数：2

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