The MediaEval 2018 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources

TitleThe MediaEval 2018 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources
Publication TypeConference Paper
Year of Publication2018
Conference NameMediaEval 2018 Workshop
AuthorsBogdanov, D., Porter A., Urbano J., & Schreiber H.
Conference Start Date29/10/2018
Conference LocationSophia Antipolis, France
AbstractThis 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.
preprint/postprint documenthttp://hdl.handle.net/10230/35744
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