TITLE

Mining transposed motifs in music

AUTHOR(S)
Jiménez, Aída; Molina-Solana, Miguel; Berzal, Fernando; Fajardo, Waldo
PUB. DATE
February 2011
SOURCE
Journal of Intelligent Information Systems;Feb2011, Vol. 36 Issue 1, p99
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
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.
ACCESSION #
57053726

 

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