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.
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Acknowledgements
F. Berzal and A. Jiménez are supported by the projects TIN2006-07262 and TIN2009-08296, whereas W. Fajardo and M. Molina-Solana are supported by the research project TIN2006-15041-C04-01.
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Jiménez, A., Molina-Solana, M., Berzal, F. et al. Mining transposed motifs in music. J Intell Inf Syst 36, 99–115 (2011). https://doi.org/10.1007/s10844-010-0122-7
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DOI: https://doi.org/10.1007/s10844-010-0122-7