Comunicació presentada a: MediaEval2017 Workshop, celebrat del 13 al 15 de setembre de 2017 a Dublin, Irlanda.

This paper provides an overview of the AcousticBrainz Genre Task organized as part of the MediaEval 2017 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.

This research has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 688382 (AudioCommons).