Segment class models for music
Darrell Conklin
Department of Computing
City University, London

Abstract

In music, events can be grouped into higher level structures, for example
notes into segments.  This talk presents a representation for melodic
segments with application to statistical modeling of music.  Melody is
represented 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.  Statistical models of segment class sequences
are constructed from a corpus, and results on the task of musical style
recognition will be presented.  Possible extensions of the model will be
proposed along with current research into other musical applications.