Musical Networks: Parallel Distributed Perception and PerformanceNiall Griffith, Peter M. Todd, Research Scientist Peter M Todd 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 |
| 337 | |
A Dream Come True | 371 |
Common terms and phrases
activation algorithmic composition architecture artificial Artificial Intelligence artificial neural network ARTMAP auditory back-propagation beat Cambridge chorale chord classifying complex components Computer Music Association Computer Music Conference CONCERT Connectionism connectionist models context D.G. Loy Eds delta rule Desain described direct inverse model duration encoding entrainment evolution example expectations F2 cell Figure frequency function genetic algorithms Grossberg group layer harmonic images improvisations International Computer Music interval Krumhansl learning Lerdahl Level listeners Longuet-Higgins mechanism melody memory metrical structure motion trace Mozer Music and Connectionism Music Cognition Music Perception musical sequences neural network node octave oscillator output P.M. Todd parameter performance error phrase pitch pitch class predictions presented problem produce psychological RAAM represent representation rhythm rhythmic Rumelhart scale self-organizing signal simulations song spectral stimulus supervised learning temporal test set theory time-span Todd & D.G. tonal tone top-down training set transition table units vector
References to this book
Bibliographic information
| Title | Musical Networks: Parallel Distributed Perception and Performance Bradford book |
| Editors | Niall Griffith, Peter M. Todd, Research Scientist Peter M Todd |
| Edition | illustrated |
| Publisher | MIT Press, 1999 |
| ISBN | 0262071819, 9780262071819 |
| Length | 385 pages |
| Subjects | › › Computers / Neural Networks Music / Instruction & Study / Appreciation Music / Instruction & Study / Theory Psychology / Cognitive Psychology & Cognition Psychology / Neuropsychology |
| Export Citation | BiBTeX EndNote RefMan |