哲学杂志철학 학술지哲学のジャーナルEast Asian
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Publication details

Publisher: Springer

Place: Berlin

Year: 2015

Pages: 187-192

Series: Lecture Notes in Computer Science

ISBN (Hardback): 9783319206028

Full citation:

Masatoshi Hamanaka, Keiji Hirata, Satoshi Tojo, "Structural similarity based on time-span sub-trees", in: Mathematics and computation in music, Berlin, Springer, 2015

Abstract

We propose structural similarity of two melodies based on sub-trees from the time-span tree provided by the Generative Theory of Tonal Music. The structural distance of the tree was previously defined and called the "maximal time-span distance," and experimental results showed to some extent a correspondence between the maximal time-span distance and psychological similarity. However, there is a big problem in that almost all pairs of melodies are not similar on the basis of the maximal time-span distance because the definition of the similarity is too strict. Therefore, we attempt to express a melodic structural similarity by using the coincidence rate of time-span sub-trees to weaken the condition for calculating similarity. We have set up three experimental conditions and compared their results.

Publication details

Publisher: Springer

Place: Berlin

Year: 2015

Pages: 187-192

Series: Lecture Notes in Computer Science

ISBN (Hardback): 9783319206028

Full citation:

Masatoshi Hamanaka, Keiji Hirata, Satoshi Tojo, "Structural similarity based on time-span sub-trees", in: Mathematics and computation in music, Berlin, Springer, 2015