Journal of Intelligent Information Systems

, Volume 36, Issue 1, pp 99–115 | Cite as

Mining transposed motifs in music

  • Aída Jiménez
  • Miguel Molina-Solana
  • Fernando Berzal
  • Waldo Fajardo
Article

Abstract

The discovery of frequent musical patterns (motifs) is a relevant problem in musicology. This paper introduces an unsupervised algorithm to address this problem in symbolically-represented musical melodies. Our algorithm is able to identify transposed patterns including exact matchings, i.e., null transpositions. We have tested our algorithm on a corpus of songs and the results suggest that our approach is promising, specially when dealing with songs that include non-exact repetitions.

Keywords

Musical mining Motifs Frequent pattern mining 

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Aída Jiménez
    • 1
  • Miguel Molina-Solana
    • 1
  • Fernando Berzal
    • 1
  • Waldo Fajardo
    • 1
  1. 1.Centro de Investigación en Tecnologías de la Información y las ComunicacionesUniversity of GranadaGranadaSpain

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