MediaEval 2018 AcousticBrainz genre task: A baseline combining deep feature embeddings across datasets
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- dc.contributor.author Oramas, Sergio
- dc.contributor.author Bogdanov, Dmitry
- dc.contributor.author Porter, Alastair
- dc.date.accessioned 2018-11-13T13:46:09Z
- dc.date.available 2018-11-13T13:46:09Z
- dc.date.issued 2018
- dc.description Comunicació presentada al MediaEval 2018 Workshop celebrat a Sophia Antipolis (França) del 29 al 31 d'octubre de 2018.
- dc.description.abstract In this paper we present a baseline approach for the MediaEval 2018 AcousticBrainz Genre Task that takes advantage of stacking multiple feature embeddings learned on individual genre datasets by simple deep learning architectures. Although we employ basic neural networks, the combination of their deep feature embeddings provides a significant gain in performance compared to each individual network.
- dc.description.sponsorship This research has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreements No 688382 (AudioCommons) and 770376-2 (TROMPA), as well as the Ministry of Economy and Competitiveness of the Spanish Government (Reference: TIN2015-69935-P).
- dc.format.mimetype application/pdf*
- dc.identifier.citation Oramas S, Bogdanov D, Porter A. MediaEval 2018 AcousticBrainz genre task: a baseline combining deep feature embeddings across datasets. In: Larson M, Arora P, Demarty CH, Riegler M, Bischke B, Dellandrea E, Lux M, Porter A, Jones GJF. MediaEval 2018 Multimedia Benchmark Workshop Working Notes Proceedings of the MediaEval 2018 Workshop. 2018 Oct 29-31; Sophia Antipolis, France. Aachen: CEUR; 2018. [3] p.
- dc.identifier.issn 1613-0073
- dc.identifier.uri http://hdl.handle.net/10230/35745
- dc.language.iso eng
- dc.publisher CEUR Workshop Proceedings
- dc.relation.isreferencedby https://github.com/MTG/acousticbrainz-mediaeval-baselines
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/688382
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/770376
- dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2015-69935-P
- dc.rights Copyright © 2018 the authors.
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.title MediaEval 2018 AcousticBrainz genre task: A baseline combining deep feature embeddings across datasets
- dc.type info:eu-repo/semantics/conferenceObject
- dc.type.version info:eu-repo/semantics/publishedVersion