Melodic analysis with segment classes

Authors:
Darrell Conklin
Affiliations:
Department of Computing, City University, London, United Kingdom
Venue:
Machine Learning
Year:
2006

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Abstract

This paper presents a representation for melodic segment classes and applies it to music data mining. Melody is modeled as a sequence of segments, each segment being a sequence of notes. These segments are assigned to classes through a knowledge representation scheme which allows the flexible construction of abstract views of the music surface. The representation is applied to sequential pattern discovery and to the statistical modeling of musical style.