SYMMER: A Systematic Approach to Multiple Musical Emotion Recognition
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Jaesung | - |
dc.contributor.author | Jo, Jin-Hyuk | - |
dc.contributor.author | Lee, Jae-Joon | - |
dc.contributor.author | Kim, Daewon | - |
dc.date.available | 2019-07-16T03:05:21Z | - |
dc.date.issued | 2011-06 | - |
dc.identifier.issn | 1598-2645 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/27958 | - |
dc.description.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. | - |
dc.format.extent | 5 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | 한국지능시스템학회 | - |
dc.title | SYMMER: A Systematic Approach to Multiple Musical Emotion Recognition | - |
dc.type | Article | - |
dc.identifier.bibliographicCitation | International Journal of Fuzzy Logic and Intelligent systems, v.11, no.2, pp 124 - 128 | - |
dc.identifier.kciid | ART001560515 | - |
dc.description.isOpenAccess | N | - |
dc.citation.endPage | 128 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 124 | - |
dc.citation.title | International Journal of Fuzzy Logic and Intelligent systems | - |
dc.citation.volume | 11 | - |
dc.publisher.location | 대한민국 | - |
dc.subject.keywordAuthor | Music Emotion Recognition | - |
dc.subject.keywordAuthor | Multilabel Classification | - |
dc.subject.keywordAuthor | Feature Selection | - |
dc.description.journalRegisteredClass | kci | - |
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