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.
Original languageEnglish
Title of host publicationWorking Notes Proceedings of the MediaEval 2018 Workshop
EditorsMartha Larson, Piyush Arora, Claire-Hélène Demarty, Michael Riegler, Benjamin Bischke, Emmanuel Dellandrea, Mathias Lux, Alastair Porter, Gareth J.F. Jones
Number of pages3
Publication statusPublished - 2018
EventMediaEval 2018: Multimedia Benchmark Workshop - EURECOM, Sophia-Antipolis, France
Duration: 29 Oct 201831 Oct 2018

Publication series

NameCEUR Workshop Proceedings
ISSN (Print)1613-0073


WorkshopMediaEval 2018
Internet address

ID: 51833471