Hierarchical Multilabel Classification and Voting for Genre Classification

نویسندگان

  • Benjamin Murauer
  • Maximilian Mayerl
  • Michael Tschuggnall
  • Eva Zangerle
  • Martin Pichl
  • Günther Specht
چکیده

This paper summarizes our contribution (team DBIS) to the AcousticBrainz Genre Task: Content-based music genre recognition from multiple sources as part of MediaEval 2017. We utilize a hierarchical set of multilabel classifiers to predict genres and subgenres and rely on a voting scheme to predict labels across datasets.

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تاریخ انتشار 2017