A graph-theoretical approach for pattern matching in post-tonal music analysis
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AbstractA graph-theoretical approach is proposed to facilitate pattern matching in post-tonal music analysis with pitchclass set theory, in which music perception is taken into account by incorporating stream segregation -a model of the perceptual organization of music. A piece of music is modelled as a graph, with each musical note presented as a vertex and the relationship between a pair of musical notes as an edge. The relationship is determined by stream segregation. According to the proposed matching conditions, searching for a musical pattern is equivalent to searching for a special subgraph called a maximal matched CRP subgraph. The comparisons are made between the patterns identified by the graph-theoretical approach and those by the musicologists.
All Author(s) ListSzeto WM, Wong MH
Journal nameJournal of New Music Research
Volume Number35
Issue Number4
Pages307 - 321
LanguagesEnglish-United Kingdom
Web of Science Subject CategoriesComputer Science; Computer Science, Interdisciplinary Applications; COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS; Music

Last updated on 2020-21-10 at 00:12