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Mining transposed motifs in music

Jiménez, Aída and Molina-Solana, Miguel and Berzal, Fernando and Fajardo, Waldo
Journal of Intelligent Information Systems , 36, pp. 99–115 (2011)

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.

Links:

DOI: 10.1007/s10844-010-0122-7
PDF: https://www.doc.ic.ac.uk/ mmolinas/publications/jimenez-jiis11.pdf

Bibtex:

@article{Jimenez2011,
  title = {Mining transposed motifs in music},
  author = {Jim\'enez, A\'ida and Molina-Solana, Miguel and Berzal, Fernando and Fajardo, Waldo},
  journal = {Journal of Intelligent Information Systems},
  year = {2011},
  number = {1},
  pages = {99--115},
  volume = {36},
  comment = {https://www.doc.ic.ac.uk/~mmolinas/publications/jimenez-jiis11.pdf},
  doi = {10.1007/s10844-010-0122-7},
  timestamp = {03}
}