完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Huang, Chih-Fang | en_US |
dc.contributor.author | Cai, Yajun | en_US |
dc.date.accessioned | 2018-08-21T05:56:25Z | - |
dc.date.available | 2018-08-21T05:56:25Z | - |
dc.date.issued | 2018-01-01 | en_US |
dc.identifier.issn | 2190-3018 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1007/978-3-319-63856-0_14 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/146187 | - |
dc.description.abstract | This paper proposes an innovated way to compose music automatically according to the input of the heartbeat sensor, to generate music with the correspondent emotion states. The typical 2D emotion plane with arousal and valence (A-V) states are adapted into our system, to determine the generative music features. Algorithmic composition technique including Markov chain is used, with the emotion - music feature mapping method, to compose the desired correspondent music. The result show a pretty good success with various generative music, including sad, happy, joyful, and angry, and the heartbeat values show its good consistency for the correspondent emotion states finally. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | 2D emotion plane | en_US |
dc.subject | Arousal | en_US |
dc.subject | Valence | en_US |
dc.subject | Algorithmic composition | en_US |
dc.subject | Emotion - music feature mapping | en_US |
dc.title | Automated Music Composition Using Heart Rate Emotion Data | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.doi | 10.1007/978-3-319-63856-0_14 | en_US |
dc.identifier.journal | ADVANCES IN INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING, PT I | en_US |
dc.citation.volume | 81 | en_US |
dc.citation.spage | 115 | en_US |
dc.citation.epage | 120 | en_US |
dc.contributor.department | 交大名義發表 | zh_TW |
dc.contributor.department | National Chiao Tung University | en_US |
dc.identifier.wosnumber | WOS:000434869600014 | en_US |
顯示於類別: | 會議論文 |