Mining transposed motifs in music
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}
}