The MediaEval 2018 AcousticBrainz genre task: content-based music genre recognition from multiple sources

Bogdanov, Dmitry; Porter, Alastair; Urbano, Julián; Schreiber, Hendrik

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dc.contributor.author	Bogdanov, Dmitry
dc.contributor.author	Porter, Alastair
dc.contributor.author	Urbano, Julián
dc.contributor.author	Schreiber, Hendrik
dc.date.accessioned	2018-11-13T13:46:05Z
dc.date.available	2018-11-13T13:46:05Z
dc.date.issued	2018
dc.identifier.citation	Bogdanov D, Porter A, Urbano J, Schreiber H. The MediaEval 2018 AcousticBrainz genre task: Content-based music genre recognition from multiple sources. 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.uri	http://hdl.handle.net/10230/35744
dc.description	Comunicació presentada al MediaEval 2018 Workshop celebrat a Sophia Antipolis (França) del 29 al 31 d'octubre de 2018.
dc.description.abstract	This paper provides an overview of the AcousticBrainz Genre Task organized as part of the MediaEval 2018 Benchmarking Initiative for Multimedia Evaluation. The task is focused on content-based music genre recognition using genre annotations from multiple sources and large-scale music features data available in the AcousticBrainz database. The goal of our task is to explore how the same music pieces can be annotated differently by different communities following different genre taxonomies, and how this should be addressed by content-based genre recognition systems. We present the task challenges, the employed ground-truth information and datasets, and the evaluation methodology.
dc.description.sponsorship	We thank all contributors to AcousticBrainz. 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). We also thank tagtraum industries for providing the Tagtraum genre annotations.
dc.format.mimetype	application/pdf
dc.language.iso	eng
dc.publisher	CEUR Workshop Proceedings
dc.relation.isreferencedby	https://multimediaeval.github.io/2018-AcousticBrainz-Genre-Task/data/
dc.rights	Copyright © 2018 the authors.
dc.title	The MediaEval 2018 AcousticBrainz genre task: content-based music genre recognition from multiple sources
dc.type	info:eu-repo/semantics/conferenceObject
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.accessRights	info:eu-repo/semantics/openAccess
dc.type.version	info:eu-repo/semantics/publishedVersion