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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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 continuous 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 measure mechanism melody memory method metrical motion neural network occur original oscillator output particular patterns perception performance period phrase pitch possible predictions preferences 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
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Page 367 - The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Defense Advanced Research Projects Agency or the US Government.
Page 311 - Invention, it must be humbly admitted, does not consist in creating out of void, but out of chaos; the materials must, in the first place, be afforded : it can give form to dark, shapeless substances, but cannot bring into being the substance itself.
Page 315 - Life and death appeared to me ideal bounds, which I should first break through, and pour a torrent of light into our dark world. A new species would bless me as its creator and source; many happy and excellent natures would owe their being to me. No father could claim the gratitude of his child so completely as I should deserve theirs.
Page 314 - I cannot describe the delight I felt when I learned the ideas appropriated to each of these sounds, and was able to pronounce them. I distinguished several other words, without being able as yet to understand or apply them; such as good, dearest, unhappy.
Page 222 - Moore, BCJ (1986). Auditory filters and excitation patterns as representations of frequency resolution.
Page 367 - This work was supported by the Department of the Navy, Office of Naval Research, under ONR Grant N00014-01-1-0968.
Page 275 - In RP Lippmann, JE Moody, & DS Touretzky (Eds.), Advances in neural information processing systems (Vol. 3, pp.649-655).
Page 382 - School of Cognitive and Computing Sciences, University of Sussex, Palmer, Brighton BN1 9QH...
Page 92 - Wang for their comments on earlier drafts of this paper. We would also like to thank the reviewers for their helpful suggestions.
Page 382 - Department of Physics and Astronomy, University of Wales College of Cardiff PO Box 913, Cardiff...
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Bibliographic information
| Title | Musical Networks: Parallel Distributed Perception and Performance Bradford books |
| 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 / Theory |
| Export Citation | BiBTeX EndNote RefMan |