Toward an understanding of similarity judgments for music digital library evaluation

  • Authors:
  • J. Stephen Downie;Jin Ha Lee;Anatoliy A. Gruzd;M. Cameron Jones

  • Affiliations:
  • University of Illinois at Urbana-Champaign, Champaign, IL;University of Illinois at Urbana-Champaign, Champaign, IL;University of Illinois at Urbana-Champaign, Champaign, IL;University of Illinois at Urbana-Champaign, Champaign, IL

  • Venue:
  • Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
  • Year:
  • 2007

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Abstract

This paper presents an analysis of 7,602 similarity judgments collected for the Symbolic Melodic Similarity (SMS) and Audio Music Similarity and Retrieval (AMS) evaluation tasks in the 2006 Music Information Retrieval Evaluation eXchange (MIREX). We discuss the influence of task definitions, as well as evaluation metrics on user perceptions of music similarity, and provide recommendations for future Music Digital Library/Music Information Retrieval research pertaining to music similarity.