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Conference Paper: Cross-cultural mood regression for music digital libraries
Title | Cross-cultural mood regression for music digital libraries |
---|---|
Authors | |
Keywords | Cross-cultural Music digital libraries Music mood Regression |
Issue Date | 2014 |
Publisher | IEEE. |
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? |
Abstract | Mood 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 Identifier | http://hdl.handle.net/10722/213513 |
ISBN | |
ISSN | 2020 SCImago Journal Rankings: 0.264 |
DC Field | Value | Language |
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dc.contributor.author | Hu, X | - |
dc.contributor.author | Yang, YH | - |
dc.date.accessioned | 2015-08-04T03:31:45Z | - |
dc.date.available | 2015-08-04T03:31:45Z | - |
dc.date.issued | 2014 | - |
dc.identifier.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 | - |
dc.identifier.isbn | 978-1-4799-5569-5 | - |
dc.identifier.issn | 1552-5996 | - |
dc.identifier.uri | http://hdl.handle.net/10722/213513 | - |
dc.description.abstract | Mood 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.language | eng | - |
dc.publisher | IEEE. | - |
dc.relation.ispartof | ACM / IEEE Joint Conference on Digital Libraries Proceedings | - |
dc.subject | Cross-cultural | - |
dc.subject | Music digital libraries | - |
dc.subject | Music mood | - |
dc.subject | Regression | - |
dc.title | Cross-cultural mood regression for music digital libraries | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Hu, X: xiaoxhu@hku.hk | - |
dc.identifier.authority | Hu, X=rp01711 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/JCDL.2014.6970230 | - |
dc.identifier.scopus | eid_2-s2.0-84919348980 | - |
dc.identifier.hkuros | 246057 | - |
dc.identifier.spage | 1 | - |
dc.identifier.epage | 2 | - |
dc.publisher.place | United States | - |
dc.customcontrol.immutable | sml 150804 | - |
dc.identifier.issnl | 1552-5996 | - |