A music recommendation system with consideration of personal emotion

Author

Chang, Chuan-Yu ; Lo, Chun-Yen ; Wang, Chi-Jane ; Chung, Pau-Choo

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Nat. Yunlin Univ. of Sci. & Technol., Douliou, Taiwan

fYear

2010

fDate

16-18 Dec. 2010

Firstpage

18

Lastpage

23

Abstract

Emotions evoked by were analyzed. An estimation of the correlation coefficient was applied to determine features of music that evoke an emotion. These features were then used to train two support vector machines (SVMs) for an individual subject to classify music that evokes happiness, anger, sadness, and peacefulness. The proposed approach can be used to classify music that evokes an emotion and to build a personal emotion-cognitive music recommendation system for an individual subject. Experiment results show the effectiveness of the proposed approach.

Keywords

correlation methods; music; recommender systems; support vector machines; correlation coefficient estimation; music recommendation system; personal emotion consideration; support vector machines; Bandwidth; Correlation; Emotion recognition; Feature extraction; Music; Recommender systems; Support vector machines; emotion recognition; music recommendation;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Symposium (ICS), 2010 International

Conference_Location

Tainan

Print_ISBN

978-1-4244-7639-8

Type

conf

DOI

10.1109/COMPSYM.2010.5685520

Filename

5685520