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.
| Original language | English |
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| Title of host publication | Working Notes Proceedings of the MediaEval 2018 Workshop |
| Editors | Martha Larson, Piyush Arora, Claire-Hélène Demarty, Michael Riegler, Benjamin Bischke, Emmanuel Dellandrea, Mathias Lux, Alastair Porter, Gareth J.F. Jones |
| Pages | 1-3 |
| Number of pages | 3 |
| Publication status | Published - 2018 |
| Event | MediaEval 2018: Multimedia Benchmark Workshop - EURECOM, Sophia-Antipolis, France Duration: 29 Oct 2018 → 31 Oct 2018 http://www.multimediaeval.org/mediaeval2018/ |
Publication series
| Name | CEUR Workshop Proceedings |
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| Volume | 2283 |
| ISSN (Print) | 1613-0073 |
Workshop
| Workshop | MediaEval 2018 |
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| Country/Territory | France |
| City | Sophia-Antipolis |
| Period | 29/10/18 → 31/10/18 |
| Internet address |