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dc.contributor.authorSong, Yading
dc.date.accessioned2016-06-17T10:48:06Z
dc.date.available2016-06-17T10:48:06Z
dc.date.issued2016-01-30
dc.date.submitted2016-06-17T11:29:24.790Z
dc.identifier.citationSong, Y. 2016: The Role of Emotion and Context in Musical Preference. Queen Mary University of London.en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/12915
dc.descriptionPhDen_US
dc.description.abstractThe powerful emotional effects of music increasingly attract the attention of music information retrieval researchers and music psychologists. In the past decades, a gap exists between these two disciplines, and researchers have focused on different aspects of emotion in music. Music information retrieval researchers are concerned with computational tasks such as the classifcation of music by its emotional content, whereas music psychologists are more interested in the understanding of emotion in music. Many of the existing studies have investigated the above issues in the context of classical music, but the results may not be applicable to other genres. This thesis focusses on musical emotion in Western popular music combining knowledge from both disciplines. I compile a Western popular music emotion dataset based on online social tags, and present a music emotion classifcation system using audio features corresponding to four diferent musical dimensions. Listeners' perceived and induced emotional responses to the emotion dataset are compared, and I evaluate the reliability of emotion tags with listeners' ratings of emotion using two dominant models of emotion, namely the categorical and the dimensional emotion models. In the next experiment, I build a dataset of musical excerpts identi ed in a questionnaire, and I train my music emotion classifcation system with these audio recordings. I compare the di erences and similarities between the emotional responses of listeners and the results from automatic classifcation. Music emotions arise in complex interactions between the listener, the music, and the situation. In the final experiments, I explore the functional uses of music and musical preference in everyday situations. Specifcally, I investigate emotional uses of music in diferent music-listening situational contexts. Finally, I discuss the use of emotion and context in the future design of subjective music recommendation systems and propose the study of musical preference using musical features.en_US
dc.description.sponsorshipChina Scholarship Council.en_US
dc.language.isoenen_US
dc.publisherQueen Mary University of Londonen_US
dc.subjectElectronic Engineering and Computer Scienceen_US
dc.subjectCentre for Digital Musicen_US
dc.subjectmusic emotion classi cationen_US
dc.titleThe Role of Emotion and Context in Musical Preference.en_US
dc.typeThesisen_US
dc.rights.holderThe copyright of this thesis rests with the author and no quotation from it or information derived from it may be published without the prior written consent of the author


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    Theses Awarded by Queen Mary University of London

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