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Conference Paper: Cross-cultural mood regression for music digital libraries

TitleCross-cultural mood regression for music digital libraries
Authors
KeywordsCross-cultural
Music digital libraries
Music mood
Regression
Issue Date2014
PublisherIEEE.
Citation
The 14th IEEE/ACM Joint Conference on Digital Libraries (JCDL 2014), London, UK., 8-12 September 2014. In ACM / IEEE Joint Conference on Digital Libraries Proceedings, 2014, p. 1-2 How to Cite?
AbstractMood is a popular access point in music digital libraries and online music repositories, and is often represented as numerical values in a small number of emotion-related dimensions (e.g., valence and arousal). As music mood is recognized as culturally dependent, this study investigates whether regression models built with music data in one culture can be applied to music in another culture. Results indicate that cross-cultural predictions of both valence and arousal values are feasible. © 2014 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/213513
ISBN
ISSN

 

DC FieldValueLanguage
dc.contributor.authorHu, X-
dc.contributor.authorYang, YH-
dc.date.accessioned2015-08-04T03:31:45Z-
dc.date.available2015-08-04T03:31:45Z-
dc.date.issued2014-
dc.identifier.citationThe 14th IEEE/ACM Joint Conference on Digital Libraries (JCDL 2014), London, UK., 8-12 September 2014. In ACM / IEEE Joint Conference on Digital Libraries Proceedings, 2014, p. 1-2-
dc.identifier.isbn978-1-4799-5569-5-
dc.identifier.issn1552-5996-
dc.identifier.urihttp://hdl.handle.net/10722/213513-
dc.description.abstractMood is a popular access point in music digital libraries and online music repositories, and is often represented as numerical values in a small number of emotion-related dimensions (e.g., valence and arousal). As music mood is recognized as culturally dependent, this study investigates whether regression models built with music data in one culture can be applied to music in another culture. Results indicate that cross-cultural predictions of both valence and arousal values are feasible. © 2014 IEEE.-
dc.languageeng-
dc.publisherIEEE.-
dc.relation.ispartofACM / IEEE Joint Conference on Digital Libraries Proceedings-
dc.rightsACM / IEEE Joint Conference on Digital Libraries. Proceedings. Copyright © IEEE.-
dc.rights©2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectCross-cultural-
dc.subjectMusic digital libraries-
dc.subjectMusic mood-
dc.subjectRegression-
dc.titleCross-cultural mood regression for music digital libraries-
dc.typeConference_Paper-
dc.identifier.emailHu, X: xiaoxhu@hku.hk-
dc.identifier.authorityHu, X=rp01711-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/JCDL.2014.6970230-
dc.identifier.scopuseid_2-s2.0-84919348980-
dc.identifier.hkuros246057-
dc.identifier.spage1-
dc.identifier.epage2-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 150804-

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