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

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Title:	General-purpose tagging of Freesound audio with audioSet labels: task description, dataset, and baseline
Author:	Fonseca, Eduardo; Plakal, Manoj; Font, Frederic; Ellis, Daniel P. W.; Favory, Xavier; Pons Puig, Jordi; Serra, Xavier
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.
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.
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.
Subject(s):	-Audio tagging -Audio dataset -Data collection
Rights:	© Tampere University of Technology http://creativecommons.org/licenses/by/4.0/
Document type:	Conference Object Article - Published version
Published by:	Tampere University of Technology
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