Multi-view Neural Networks for Raw Audio-based Music Emotion Recognition

HE, NA; Ferguson, S

Multi-view Neural Networks for Raw Audio-based Music Emotion Recognition

HE, NA Ferguson, S

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2020 IEEE International Symposium on Multimedia (ISM), 2020, pp. 168-172
Issue Date:: 2020-12

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Field	Value	Language
dc.contributor.author	HE, NA
dc.contributor.author	Ferguson, S https://orcid.org/0000-0003-1853-3000
dc.date	2020-12-02
dc.date.accessioned	2021-03-29T23:46:40Z
dc.date.available	2021-03-29T23:46:40Z
dc.date.issued	2020-12
dc.identifier.citation	2020 IEEE International Symposium on Multimedia (ISM), 2020, pp. 168-172
dc.identifier.uri	http://hdl.handle.net/10453/147638
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2020 IEEE International Symposium on Multimedia (ISM)
dc.relation.ispartof	2020 IEEE International Symposium on Multimedia (ISM)
dc.relation.isbasedon	10.1109/ism.2020.00037
dc.rights	© 2020 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.	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Multi-view Neural Networks for Raw Audio-based Music Emotion Recognition
dc.type	Conference Proceeding
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	embargoed	*
utslib.copyright.embargo	2023-01-22T00:00:00+1000Z
dc.date.updated	2021-03-29T23:46:39Z
pubs.finish-date	2020-12-04
pubs.publication-status	Published
pubs.start-date	2020-12-02

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http://hdl.handle.net/10453/147638