Segment Class Models for Music
par/by Darrell Conklin
Department of Computing
City University, London
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.