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Author: Peter M. Todd
Publisher: MIT Press
ISBN: 9780262200813
Category : Computers
Languages : en
Pages : 292
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Book Description
Annotation 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.
Author: Peter M. Todd
Publisher: MIT Press
ISBN: 9780262200813
Category : Computers
Languages : en
Pages : 292
Get Book Here
Book Description
Annotation 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.
Author: Niall Griffith
Publisher: MIT Press
ISBN: 9780262071819
Category : Music
Languages : en
Pages : 422
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Book Description
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
Author: Marilyn Nonken
Publisher:
ISBN:
Category : Complexity (Philosophy)
Languages : en
Pages : 218
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Book Description
Author: Michael R. W. Dawson
Publisher: Athabasca University Press
ISBN: 1771992204
Category : Psychology
Languages : en
Pages : 312
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Book Description
Previously, artificial neural networks have been used to capture only the informal properties of music. However, cognitive scientist Michael Dawson found that by training artificial neural networks to make basic judgments concerning tonal music, such as identifying the tonic of a scale or the quality of a musical chord, the networks revealed formal musical properties that differ dramatically from those typically presented in music theory. For example, where Western music theory identifies twelve distinct notes or pitch-classes, trained artificial neural networks treat notes as if they belong to only three or four pitch-classes, a wildly different interpretation of the components of tonal music. Intended to introduce readers to the use of artificial neural networks in the study of music, this volume contains numerous case studies and research findings that address problems related to identifying scales, keys, classifying musical chords, and learning jazz chord progressions. A detailed analysis of the internal structure of trained networks could yield important contributions to the field of music cognition.
Author: David Hargreaves
Publisher: Cambridge University Press
ISBN: 1107052963
Category : Music
Languages : en
Pages : 365
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Book Description
A comprehensive, up-to-date introduction to the psychology of musical development in children and adults, from theory to research and applications.
Author: Diana Deutsch
Publisher: Academic Press
ISBN: 0123814618
Category : Psychology
Languages : en
Pages : 784
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Book Description
The Psychology of Music serves as an introduction to an interdisciplinary field in psychology, which focuses on the interpretation of music through mental function. This interpretation leads to the characterization of music through perceiving, remembering, creating, performing, and responding to music. In particular, the book provides an overview of the perception of musical tones by discussing different sound characteristics, like loudness, pitch and timbre, together with interaction between these attributes. It also discusses the effect of computer resources on the psychological study of music through computational modeling. In this way, models of pitch perception, grouping and voice separation, and harmonic analysis were developed. The book further discusses musical development in social and emotional contexts, and it presents ways that music training can enhance the singing ability of an individual. The book can be used as a reference source for perceptual and cognitive psychologists, neuroscientists, and musicians. It can also serve as a textbook for advanced courses in the psychological study of music. - Encompasses the way the brain perceives, remembers, creates, and performs music - Contributions from the top international researchers in perception and cognition of music - Designed for use as a textbook for advanced courses in psychology of music
Author: Marc Leman
Publisher: Springer Science & Business Media
ISBN: 3642852130
Category : Science
Languages : en
Pages : 240
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Book Description
Music is an important domain of application for schema theory. The perceptual structures for pitch and timbre have been mapped via schemata, with results that have contributed to a better understanding of music perception. Yet we still need to know how a schema comes into existence, or how it functions in a particular perception task. This book provides a foundation for the understanding of the emergence and functionality of schemata by means of computer-based simulations of tone center perception. It is about how memory structures self-organize and how they use contextual information to guide perception.
Author:
Publisher: Academic Press
ISBN: 0080566685
Category : Computers
Languages : en
Pages : 479
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Book Description
Advances in Computers
Author: Adam Ockelford
Publisher: Routledge
ISBN: 1317088751
Category : Music
Languages : en
Pages : 291
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Book Description
This book presents four extended essays that are rooted in the growing interdisciplinary field of applied musicology, in which music theory – in particular, the zygonic conjecture – is used to inform thinking in the domains of music psychology, music education and music therapy research. It is essential reading for academics and postgraduate students working in these fields. The topics covered include a new study on the emergence of musical abilities in the early years, using the Sounds of Intent framework of musical development; an exploration of how the Sounds of Intent model can be extended to map how people with learning difficulties engage in creative multisensory activities; an investigation of the expectations generated on hearing a piece of music more than once evolve in cognition, using evidence from a musical savant; and a report on the effect on listeners of repeated exposure to a novel melody. Data are drawn from the findings of postgraduate and postdoctoral projects. It is hoped that this exciting new work will act as a catalyst in the emerging field of applied musicological research, and bring recognition to a group of new young academics.
Author: Russell Hartenberger
Publisher: Cambridge University Press
ISBN: 1108492924
Category : Music
Languages : en
Pages : 371
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Book Description
An exploration of rhythm and the richness of musical time from the perspective of performers, composers, analysts, and listeners.
