An efficient emotion detection scheme for popular music

Chia Hung Yeh*, Hung Hsuan Lin, Hsuan Ting Chang

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

17 引文 斯高帕斯(Scopus)

摘要

With the rapid growth of multimedia information, the ability to efficiently manage data from large amount of multimedia database has become a crucial issue. In this paper, a framework for music emotion detection is proposed. First, a Thayer's 2-Dimentinal model that represents the music emotion space is employed as our emotion model. Second, three features such as intensity, rhythm regularity, and tempo are extracted to describe a music clip. Then, features are trained by constructing Gaussian Mixture Models (GMM). Finally, the likelihood radios of test music clips to GMM are calculated for emotion identification. Experiemtal results show that the average recall and precision all are up to 80% for the database that is comprised of 145 music clips.

原文英語
主出版物標題2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
頁面1799-1802
頁數4
DOIs
出版狀態已發佈 - 2009
對外發佈
事件2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009 - Taipei, 臺灣
持續時間: 2009 5月 242009 5月 27

出版系列

名字Proceedings - IEEE International Symposium on Circuits and Systems
ISSN(列印)0271-4310

其他

其他2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
國家/地區臺灣
城市Taipei
期間2009/05/242009/05/27

ASJC Scopus subject areas

  • 電氣與電子工程

指紋

深入研究「An efficient emotion detection scheme for popular music」主題。共同形成了獨特的指紋。

引用此