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dc.contributor.authorChang, Chuan-Yu Jr
dc.contributor.authorLo, Chun-Yen Jr
dc.contributor.authorWang, Chi-Jane Jr
dc.contributor.authorChung, Pau-Choo Jr
dc.date.accessioned2011-01-06T20:52:38Z
dc.date.accessioned2020-05-18T03:10:53Z-
dc.date.available2011-01-06T20:52:38Z
dc.date.available2020-05-18T03:10:53Z-
dc.date.issued2011-01-06T20:52:38Z
dc.date.submitted2010-12-16
dc.identifier.urihttp://dspace.lib.fcu.edu.tw/handle/2377/29835-
dc.description.abstractEmotions evoked by were analyzed. An estimation of the correlation coefficient was applied to determine features of music that evoke an emotion. These features were then used to train two support vector machines (SVMs) for an individual subject to classify music that evokes happiness, anger, sadness, and peacefulness. The proposed approach can be used to classify music that evokes an emotion and to build a personal emotion-cognitive music recommendation system for an individual subject. Experiment results show the effectiveness of the proposed approach.
dc.description.sponsorshipNational Cheng Kung University,Tainan
dc.format.extent6p.
dc.relation.ispartofseries2010 ICS會議
dc.subjectemotion recognition
dc.subjectmusic recommendation
dc.subject.otherDigital Content, Digital Life, E-learning, Web Service, and HCI
dc.titleA Music Recommendation System with Consideration of Personal Emotion
分類:2010年 ICS 國際計算機會議(如需查看全文,請連結至IEEE Xplore網站)

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