The MediaEval 2018 AcousticBrainz Genre Task

Content-based Music Genre Recognition from Multiple Sources

Conference paper (2018)

Authors

Dmitry Bogdanov Pompeu Fabra University
Alastair Porter Pompeu Fabra University
Hendrik Schreiber Tagtraum Industries Incorporated
Copyright: © 2018 Dmitry Bogdanov, Alastair Porter, Julián Urbano, Hendrik Schreiber
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Published Date

2018

Language

English

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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.

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