Mining transposed motifs in music

Published in Journal of Intelligent Information Systems. Vol 36(1), pp 99-115, 2011

Recommended citation: Jiménez, A., Molina-Solana, M., Berzal, F. & Fajardo, W. (2011), "Mining transposed motifs in music", Journal of Intelligent Information Systems Vol. 36(1), pp. 99-115. http://doi.org/10.1007/s10844-010-0122-7

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Recommended citation: Jiménez, A., Molina-Solana, M., Berzal, F. & Fajardo, W. (2011), "Mining transposed motifs in music", Journal of Intelligent Information Systems Vol. 36(1), pp. 99-115.

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.

BibTeX: @article{Jimenez2011, author = {Aída Jiménez and Miguel Molina-Solana and Fernando Berzal and Waldo Fajardo}, title = {Mining transposed motifs in music}, journal = {Journal of Intelligent Information Systems}, year = {2011}, volume = {36}, number = {1}, pages = {99--115}, doi = {http://doi.org/10.1007/s10844-010-0122-7} }