Dance music classification: A tempo-based approach

نویسندگان

  • Fabien Gouyon
  • Simon Dixon
چکیده

Recent research has studied the relevance of various features for automatic genre classification, showing the particular importance of tempo in dance music classification. We complement this work by considering a domainspecific learning methodology, where the computed tempo is used to select an expert classifier which has been specialised on its own tempo range. This enables the all-class learning task to be reduced to a set of twoand three-class learning tasks. Current results are around 70% classification accuracy (8 ballroom dance music classes, 698 instances, baseline 15.9%).

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تاریخ انتشار 2004