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Understanding Musical Sound with Forward Models and Physical Models

Casey, Michael A.. 1998. Understanding Musical Sound with Forward Models and Physical Models. In: Niall Griffith and Peter M Todd, eds. Musical Networks: Parallel Distributed Perception and Performance. Cambridge: MIT Press, pp. 45-63. ISBN 978-0262071819 [Book Section]

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Abstract or Description

This volume presents the most up-to-date collection of neural network models of music and creativity gathered together in one place. Chapters by leaders in the field cover new connectionist models of pitch perception, tonality, musical streaming, sequential and hierarchical melodic structure, composition, harmonization, rhythmic analysis, sound generation, and creative evolution. The collection combines journal papers on connectionist modeling, cognitive science, and music perception with new papers solicited for this volume. It also contains an extensive bibliography of related work. Contributors: Shumeet Baluja, M.I. Bellgard, Michael A. Casey, Garrison W. Cottrell, Peter Desain, Robert O. Gjerdingen, Mike Greenhough, Niall Griffith, Stephen Grossberg, Henkjan Honing, Todd Jochem, Bruce F. Katz, John F. Kolen, Edward W. Large, Michael C. Mozer, Michael P.A. Page, Caroline Palmer, Jordan B. Pollack, Dean Pomerleau, Stephen W. Smoliar, Ian Taylor, Peter M. Todd, C.P. Tsang, Gregory M. Werner.

Item Type:

Book Section

Departments, Centres and Research Units:

Computing

Dates:

DateEvent
1998Published

Item ID:

15181

Date Deposited:

01 Dec 2015 17:06

Last Modified:

20 Jun 2017 09:43

URI:

http://research.gold.ac.uk/id/eprint/15181

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