Journal of Intelligent Information Systems

, Volume 36, Issue 1, pp 99–115

Mining transposed motifs in music

Authors

    • Centro de Investigación en Tecnologías de la Información y las ComunicacionesUniversity of Granada
  • Miguel Molina-Solana
    • Centro de Investigación en Tecnologías de la Información y las ComunicacionesUniversity of Granada
  • Fernando Berzal
    • Centro de Investigación en Tecnologías de la Información y las ComunicacionesUniversity of Granada
  • Waldo Fajardo
    • Centro de Investigación en Tecnologías de la Información y las ComunicacionesUniversity of Granada
Article

DOI: 10.1007/s10844-010-0122-7

Cite this article as:
Jiménez, A., Molina-Solana, M., Berzal, F. et al. J Intell Inf Syst (2011) 36: 99. doi:10.1007/s10844-010-0122-7

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 miningMotifsFrequent pattern mining

Copyright information

© Springer Science+Business Media, LLC 2010