General-purpose tagging of Freesound audio with audioSet labels: task description, dataset, and baseline

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dc.contributor.author	Fonseca, Eduardo
dc.contributor.author	Plakal, Manoj
dc.contributor.author	Font, Frederic
dc.contributor.author	Ellis, Daniel P. W.
dc.contributor.author	Favory, Xavier
dc.contributor.author	Pons Puig, Jordi
dc.contributor.author	Serra, Xavier
dc.date	2018
dc.identifier.citation	Fonseca E, Plakal M, Font F, Ellis DPW, Favory X, Pons J, Serra X. General-purpose tagging of Freesound audio with audioSet labels: task description, dataset, and baseline. In: Plumbley MD, Kroos C, Bello JP, Richard G, Ellis, DPW, Mesaros A, editors. Proceedings of the Detection and Classification of Acoustic Scenes and Events 2018 Workshop (DCASE2018); 2018 Nov 19-20; Surrey, UK. Tampere: Tampere University of Technology; 2018. p. 69-73.
dc.identifier.citation	978-952-15-4262-6
dc.identifier.uri	http://hdl.handle.net/10230/36853
dc.format	application/pdf
dc.language.iso	eng
dc.publisher	Tampere University of Technology
dc.relation	Plumbley MD, Kroos C, Bello JP, Richard G, Ellis, DPW, Mesaros A, editors. Proceedings of the Detection and Classification of Acoustic Scenes and Events 2018 Workshop (DCASE2018); 2018 Nov 19-20; Surrey, UK. Tampere: Tampere University of Technology; 2018. p. 69-73.
dc.relation	info:eu-repo/grantAgreement/EC/H2020/688382
dc.rights	© Tampere University of Technology
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by/4.0/
dc.subject	Audio tagging
dc.subject	Audio dataset
dc.subject	Data collection
dc.title	General-purpose tagging of Freesound audio with audioSet labels: task description, dataset, and baseline
dc.type	info:eu-repo/semantics/conferenceObject
dc.type	info:eu-repo/semantics/publishedVersion
dc.description.abstract	Comunicació presentada a: Detection and Classification of Acoustic Scenes and Events 2018, celebrat a Surrey, Regne Unit, del 19 al 20 de novembre de 2018.
dc.description.abstract	This paper describes Task 2 of the DCASE 2018 Challenge, titled “General-purpose audio tagging of Freesound content with AudioSet labels”. This task was hosted on the Kaggle platform as “Freesound General-Purpose Audio Tagging Challenge”. The goal of the task is to build an audio tagging system that can recognize the category of an audio clip from a subset of 41 diverse categories drawn from the AudioSet Ontology. We present the task, the dataset prepared for the competition, and a baseline system.
dc.description.abstract	This work is partially supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 688382 AudioCommons and a Google Faculty Research Award 2017.

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