Machine Models of Music
Stephan M. Schwanauer, David A. Levitt · 1993
Part 1 Foundations - generate-and-test composition: musical composition with a high-speed digital computer, Lejaren Hiller and Leonard Isaacson an experiemnt in musical composition, F.P. Brooks et al a technique for the composition of music in a computer, Stanley Gill. Part 2 Foundations - composition parsing: a programme for the analytical reading of scores, Allen Forte pattern in music, Herbert A. Simon and Richard K. Sumner linguistics and the computer analysis of tonal harmony, Terry Winograd. Part 3 AI and music - heuristic composition: simulating musical skills by digital computer, John Rothgeb music and computer composition, James Anderson Moorer process structuring and music theory, Stephen W. Smoliar. Part 4 AI and music - generative grammars: in search of a generative grammar for music, Otto E. Laske a method for composing simple traditional music by computer, Gary M. Rader generative theories in language and music descriptions, Johan Sundberg and Bjorn Lindblom an overview of hierarchical structure in music, Fred Lerdahl and Ray Jeckandoff. Part 5 AI and music - alternative theories: an artificial intelligence approach to tonal music theory, James Meehan music, mind and meaning, Marvin Minsky. Part 6 AI and music - composition tools: protocol - motivation, design and production of a composition for solo piano, Charles Ames an expert system for harmonizing four-part chorales, Kemal Ebcioglu a computer model of music composition, David Cope flavours band - a language for specifying musical style, Christopher Fry. Part 7 AI and music - new directions: a representation for musical dialects, David A. Levitt the perception of melodies, H. Christopher Longuet-Higgins MUSACT - a connectionist model of musical harmony, Jamshed J. Bharucha a learning machine for tonal composition, Stephan M. Schwanauer. Appendix: musical dice game, Wolfgang Amadeus Mozart.