Musical Networks: Parallel Distributed Perception and PerformanceNiall Griffith, Peter M.. Todd, 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 |
Exploring the Benefits | 227 |
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 algorithm allow analysis applied approach architecture artificial Association beat cells chord classifying Cognitive complex components composition Computer Music CONCERT Conference connectionist connections consists context corresponding create critics described developed direct distributed duration effect error example expectations experiments Figure frequency function given harmonic human images important input interval inverse model Journal layer learning Level listeners mean measure mechanism melody memory method metrical motion neural network occur original oscillator output particular patterns perception performance period phrase pitch possible predictions presented Press problem Proceedings produce range relative represent representation response rhythm rhythmic rules scale Science selection sequence shown shows signal similar simple simulations single song sound space stream structure Table temporal theory Todd tonal tone traces training set units University weights
References to this book
Bibliographic information
| Title | Musical Networks: Parallel Distributed Perception and Performance Bradford books |
| Editors | Niall Griffith, Peter M.. Todd, Peter M. Todd, Research Scientist Peter M Todd |
| Edition | illustrated |
| Publisher | MIT Press, 1999 |
| ISBN | 0262071819, 9780262071819 |
| Length | 385 pages |
| Subjects | › › Computers / Data Science / Neural Networks Music / Instruction & Study / Theory |
| Export Citation | BiBTeX EndNote RefMan |