SYMMER: A Systematic Approach to Multiple Musical Emotion Recognition
- Authors
- Lee, Jaesung; Jo, Jin-Hyuk; Lee, Jae-Joon; Kim, 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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- Appears in
Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
- College of Software > Department of Artificial Intelligence > 1. Journal Articles
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