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http://dx.doi.org/10.5391/IJFIS.2011.11.2.124

SYMMER: A Systematic Approach to Multiple Musical Emotion Recognition  

Lee, Jae-Sung (School of Computer Science and Engineering, Chung-Ang University)
Jo, Jin-Hyuk (School of Computer Science and Engineering, Chung-Ang University)
Lee, Jae-Joon (School of Computer Science and Engineering, Chung-Ang University)
Kim, Dae-Won (School of Computer Science and Engineering, Chung-Ang University)
Publication Information
International Journal of Fuzzy Logic and Intelligent Systems / v.11, no.2, 2011 , pp. 124-128 More about this Journal
Abstract
Music emotion recognition is currently one of the most attractive research areas in music information retrieval. In order to use emotion as clues when searching for a particular music, several music based emotion recognizing systems are fundamentally utilized. In order to maximize user satisfaction, the recognition accuracy is very important. In this paper, we develop a new music emotion recognition system, which employs a multilabel feature selector and multilabel classifier. The performance of the proposed system is demonstrated using novel musical emotion data.
Keywords
Music Emotion Recognition; Multilabel Classification; Feature Selection;
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