Title :
Music emotion ranking
Author :
Yang, Yi-Hsuan ; Chen, Homer H.
Author_Institution :
Nat. Taiwan Univ., Taipei
Abstract :
Content-based retrieval has emerged as a promising approach to information access. In this paper, we propose an approach to music emotion ranking. Specifically, we rank music in terms of arousal and valence and represent each song as a point in the 2D emotion space. Novel ranking-based methods for annotation, learning, and evaluation of music emotion recognition are developed and tested on a moderately large-scale database composed of 1240 pop songs. Results are provided to show the feasibility of the proposed approach.
Keywords :
content-based retrieval; emotion recognition; music; 2D emotion space; content-based retrieval; information access; music emotion ranking; music emotion recognition; Content based retrieval; Databases; Emotion recognition; Explosives; Fatigue; Humans; Large-scale systems; Multiple signal classification; Music information retrieval; Testing; Music emotion recognition; ranking; rating;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2009.4959919
