Musical Networks: Parallel Distributed Perception and Performance

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Niall Griffith, Peter M. Todd
MIT Press, 1999 - Computers - 385 pages
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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.
 

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Contents

Development of Tonal Centres and Abstract Pitch as Categorizations
23
Understanding Musical Sound with Forward Models and Physical
45
Resonance and the Perception of Musical Meter
65
A Critical View
97
A Critical
111
Apparent Motion in Music?
141
Modelling the Perception of Musical Sequences with Selforganizing
175
An Ear for Melody
199
Part IV
217
Harmonizing Music the Boltzmann Way
261
Reduced Memory Representations for Music
279
Frankensteinian Methods for Evolutionary Music Composition
313
Towards Automated Artificial Evolution for Computergenerated
337
A Dream Come True
371
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Machine Musicianship
Robert Rowe
Limited preview - 2004
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About the author (1999)

Eli Berman is Professor of Economics at the University of California, San Diego, and Research Director of International Security Studies at the University of California Institute on Global Conflict and Cooperation.

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