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Music and connectionism / edited by Peter M. Todd and D. Gareth Loy.

Contributor(s): Loy, D. Gareth | Todd, Peter M | IEEE Xplore (Online Service) [distributor.] | MIT Press [publisher.].
Material type: materialTypeLabelBookPublisher: Cambridge, Massachusetts : MIT Press, c1991Distributor: [Piscataqay, New Jersey] : IEEE Xplore, [2003]Description: 1 PDF (xi, 268 pages) : illustrations.Content type: text Media type: electronic Carrier type: online resourceISBN: 9780262285032.Uniform titles: Computer music journal. Subject(s): Psychoacoustics | Connectionism | Computer music -- History and criticismGenre/Form: Electronic books.Additional physical formats: Print version: No titleOnline resources: Abstract with links to resource Also available in print.
Contents:
The quantization of musical time : a connectionist approach / Peter Desain, Henkjan Honing, amd Klaus de Rijk -- A connectionist approach to algorithmic composition / Peter M. Todd -- Connectionist music composition based on melodic, stylistic, and psychophysical constraints / Michael C. Mozer -- Creation by refinement and the problem of algorithmic music composition / J.P. Lewis -- A nonheuristic automatic composing method / Teuvo Kohonen ... [et al.] -- Fingering for string instruments with the optimum path paradigm / Samir I. Sayegh -- Letter : connectionist composition / Otto Laske -- Responses to Laske / Peter M. Todd and D. Gareth Loy -- Further research and directions / Peter M. Todd.
Machine Tongues XII : neural networks / Mark Dolson -- Connectionism and musiconomy / D. Gareth Loy -- A neural network model for pitch perception / Hajime Sano and B. Keith Jenkins -- Connectionist models for tonal analysis / Don L. Scarborough, Ben O. Miller, and Jacqueline A. Jones -- The representation of pitch in a neural net model of chord classification / Bernice Laden and Douglas H. Keefe -- Pitch, harmony, and neural nets : a psychological perspective / Jamshed J. Bharucha -- The ontogenesis of tonal semantics : the results of a computer study / Marc Leman -- Modeling the perception of tonal structure with neural nets / Jamshed J. Bharucha and Peter M. Todd -- Using connectionist models to explore complex musical patterns / Robert O. Gjerdingen.
Summary: As one of our highest expressions of thought and creativity, music has always been a difficult realm to capture, model, and understand. The connectionist paradigm, now beginning to provide insights into many realms of human behavior, offers a new and unified viewpoint from which to investigate the subtleties of musical experience. Music and Connectionism provides a fresh approach to both fields, using the techniques of connectionism and parallel distributed processing to look at a wide range of topics in music research, from pitch perception to chord fingering to composition.The contributors, leading researchers in both music psychology and neural networks, address the challenges and opportunities of musical applications of network models. The result is a current and thorough survey of the field that advances understanding of musical phenomena encompassing perception, cognition, composition, and performance, and in methods for network design and analysis.Peter M. Todd is a doctoral candidate in the PDP Research Group of the Psychology Department at Stanford University. Gareth Loy is an award-winning composer, a lecturer in the Music Department of the University of California, San Diego, and a member of the technical staff of Frox Inc.Contributors. Jamshed J. Bharucha. Peter Desain. Mark Dolson. Robert Gjerclingen. Henkjan Honing. B. Keith Jenkins. Jacqueline Jons. Douglas H. Keefe. Tuevo Kohonen. Bernice Laden. Pauli Laine. Otto Laske. Marc Leman. J. P. Lewis. Christoph Lischka. D. Gareth Loy. Ben Miller. Michael Mozer. Samir I. Sayegh. Hajime Sano. Todd Soukup. Don Scarborough. Kalev Tiits. Peter M. Todd. Kari Torkkola.
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"This book came out of ... articles that first appeared in ... two special issues of the Computer music journal"--Pref.

Includes bibliographical references.

The quantization of musical time : a connectionist approach / Peter Desain, Henkjan Honing, amd Klaus de Rijk -- A connectionist approach to algorithmic composition / Peter M. Todd -- Connectionist music composition based on melodic, stylistic, and psychophysical constraints / Michael C. Mozer -- Creation by refinement and the problem of algorithmic music composition / J.P. Lewis -- A nonheuristic automatic composing method / Teuvo Kohonen ... [et al.] -- Fingering for string instruments with the optimum path paradigm / Samir I. Sayegh -- Letter : connectionist composition / Otto Laske -- Responses to Laske / Peter M. Todd and D. Gareth Loy -- Further research and directions / Peter M. Todd.

Machine Tongues XII : neural networks / Mark Dolson -- Connectionism and musiconomy / D. Gareth Loy -- A neural network model for pitch perception / Hajime Sano and B. Keith Jenkins -- Connectionist models for tonal analysis / Don L. Scarborough, Ben O. Miller, and Jacqueline A. Jones -- The representation of pitch in a neural net model of chord classification / Bernice Laden and Douglas H. Keefe -- Pitch, harmony, and neural nets : a psychological perspective / Jamshed J. Bharucha -- The ontogenesis of tonal semantics : the results of a computer study / Marc Leman -- Modeling the perception of tonal structure with neural nets / Jamshed J. Bharucha and Peter M. Todd -- Using connectionist models to explore complex musical patterns / Robert O. Gjerdingen.

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As one of our highest expressions of thought and creativity, music has always been a difficult realm to capture, model, and understand. The connectionist paradigm, now beginning to provide insights into many realms of human behavior, offers a new and unified viewpoint from which to investigate the subtleties of musical experience. Music and Connectionism provides a fresh approach to both fields, using the techniques of connectionism and parallel distributed processing to look at a wide range of topics in music research, from pitch perception to chord fingering to composition.The contributors, leading researchers in both music psychology and neural networks, address the challenges and opportunities of musical applications of network models. The result is a current and thorough survey of the field that advances understanding of musical phenomena encompassing perception, cognition, composition, and performance, and in methods for network design and analysis.Peter M. Todd is a doctoral candidate in the PDP Research Group of the Psychology Department at Stanford University. Gareth Loy is an award-winning composer, a lecturer in the Music Department of the University of California, San Diego, and a member of the technical staff of Frox Inc.Contributors. Jamshed J. Bharucha. Peter Desain. Mark Dolson. Robert Gjerclingen. Henkjan Honing. B. Keith Jenkins. Jacqueline Jons. Douglas H. Keefe. Tuevo Kohonen. Bernice Laden. Pauli Laine. Otto Laske. Marc Leman. J. P. Lewis. Christoph Lischka. D. Gareth Loy. Ben Miller. Michael Mozer. Samir I. Sayegh. Hajime Sano. Todd Soukup. Don Scarborough. Kalev Tiits. Peter M. Todd. Kari Torkkola.

Also available in print.

Mode of access: World Wide Web

Description based on PDF viewed 12/23/2015.

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