Understanding Music with AI: Perspectives on Music Cognition

Abstract

Part 1 Two views on cognitive musicology: artificial intelligence and music - cornerstone of cognitive musicology, O. Laske beyond computational musicology, P. Kugel. Part 2 General problems in modeling musical activities: representing listening behaviour - problems and prospects, S.W. Smoliar symbolic and sonic representations of sound-object structures, B. Bel music structures - interleaving the temporal and hierarchical aspects in music, B. Balaban on designing a typed music language, E.B. Blevis, et al logical representation and induction for computer assisted composition, F. Courtot. Part 3 Music composition: cybernetic composer - an overview, C. Ames and M. Domino Wolfgang - a system using emoting potentials to manage musical design, R.D. Riecken on the application of problem reduction search to automated composition, S.C. Marsella and C.F. Schmidt the observer tradition of knowledge acquisition, O. Laske. Part 4 Analysis: an expert system for harmonizing chorales in the style of J.S. Bach, K. Ebcioglu an expert system for harmonic analysis of tonal music, H.J. Maxwell on the algorithmic representation of musical style, D. Cope. Part 5 Performance: Bol processor grammars, B. Bel and J. Kippen a new approach to music through vision, S. Ohteru and S. Hashimoto. Part 6 Perception: analyzing and representing musical rhythm, C. Linster on the perception of metre, B.O. Miller, et al the quantization problem - traditional and connectionist approaches, P. Desain and H. Honing. Part 7 Learning and tutoring: an architecture for an intelligent tutoring system, M.J. Baker a knowledge intensive approach to mcachine learning in tonal music, G. Widmer.