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ICASSP
2009
IEEE

Music emotion ranking

10 years 4 months ago
Music emotion ranking
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.1
Yi-Hsuan Yang, Homer H. Chen
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICASSP
Authors Yi-Hsuan Yang, Homer H. Chen
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