Abstract
This paper describes the music representation approaches used in MONK, an implemented group of software modules from which harmonisation systems can be built. The basic design issues are outlined in relation to two preparatory studies, namely an examination of three recent harmonisation systems and an informal protocol analysis of practitioners performing harmonisations. The development of a symbolic model of the Longuet-Higgins map of harmony, LHSpace, is described and the manipulation of LHSpace by the MONK systems outlined. The representation of melody is outlined and compared with Conventional Music Notation. Approaches to representing other musical knowledge using traditional Artificial Intelligence techniques are discussed. The educational implications of the MONK representations are considered.
The author carried out the research reported here at the Department of Computing Science, King’s College, University of Aberdeen, Aberdeen, AB9 2UB, Scotland.
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© 1994 Springer-Verlag Berlin Heidelberg
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Coates, D. (1994). Representations of the MONK harmonisation systems. In: Smith, M., Smaill, A., Wiggins, G.A. (eds) Music Education: An Artificial Intelligence Approach. Workshops in Computing. Springer, London. https://doi.org/10.1007/978-1-4471-3571-5_5
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DOI: https://doi.org/10.1007/978-1-4471-3571-5_5
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