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Music Genre Classification Revisited: An In-Depth Examination Guided by Music Experts

  • Haukur Pálmason
  • Björn Þór Jónsson
  • Markus Schedl
  • Peter Knees
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11265)

Abstract

Despite their many identified shortcomings, music genres are still often used as ground truth and as a proxy for music similarity. In this work we therefore take another in-depth look at genre classification, this time with the help of music experts. In comparison to existing work, we aim at including the viewpoint of different stakeholders to investigate whether musicians and end-user music taxonomies agree on genre ground truth, through a user study among 20 professional and semi-professional music protagonists. We then compare the results of their genre judgments with different commercial taxonomies and with that of computational genre classification experiments, and discuss individual cases in detail. Our findings coincide with existing work and provide further evidence that a simple classification taxonomy is insufficient.

Keywords

Music genre classification Expert study Ground truth 

Notes

Acknowledgements

Supported by the Austrian Science Fund (FWF): P25655 and the Austrian FFG: BRIDGE 1 project SmarterJam (858514).

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Haukur Pálmason
    • 1
  • Björn Þór Jónsson
    • 1
    • 2
  • Markus Schedl
    • 3
  • Peter Knees
    • 4
  1. 1.Reykjavik UniversityReykjavíkIceland
  2. 2.IT University of CopenhagenCopenhagenDenmark
  3. 3.Johannes Kepler University LinzLinzAustria
  4. 4.TU WienViennaAustria

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