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SYMMER: A Systematic Approach to Multiple Musical Emotion Recognition

Authors
Lee, JaesungJo, Jin-HyukLee, Jae-JoonKim, Daewon
Issue Date
Jun-2011
Publisher
한국지능시스템학회
Keywords
Music Emotion Recognition; Multilabel Classification; Feature Selection
Citation
International Journal of Fuzzy Logic and Intelligent systems, v.11, no.2, pp 124 - 128
Pages
5
Journal Title
International Journal of Fuzzy Logic and Intelligent systems
Volume
11
Number
2
Start Page
124
End Page
128
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/27958
ISSN
1598-2645
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.
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소프트웨어대학 (소프트웨어학부)
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