資料來源: Google Book

Music and connectionism

  • 其他作者: Todd, Peter M. , Loy, D. Gareth.
  • 出版: Cambridge, Mass. : MIT Press ©1991.
  • 稽核項: 1 online resource (xi, 268 pages) :illustrations.
  • 叢書名: The MIT Press Ser.
  • 標題: Musique par ordinateur Histoire et critique. , Computermuziek. , Musique Informatique -- Histoire et critique. , Psychoacoustique. , Psychoacoustics , Computer music. , Muziekwetenschap. , Criticism, interpretation, etc. , Connectionisme. , ARTS/Music & Sound Studies , Muziekpsychologie. , Psychoacoustics. , Connexionnisme. , History and criticism. , COMPUTER SCIENCE/Computer Music , MUSIC Musical Instruments -- Piano & Keyboard. , Musique par ordinateur , Computer music , Histoire et critique. , Musique , Electronic books. , Connectionism. , MUSIC , Musical InstrumentsPiano & Keyboard. , Computer music History and criticism. , InformatiqueHistoire et critique.
  • ISBN: 0262200813 , 9780262200813
  • ISBN: 0262200813 , 9780262200813
  • 試查全文@TNUA:
  • 附註: "This book came out of ... articles that first appeared in ... two special issues of the Computer music journal"--Preface. "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." Includes bibliographical references. 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. 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 [and others] -- 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.
  • 摘要: "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."
  • 電子資源: https://dbs.tnua.edu.tw/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=49715
  • 系統號: 005296257
  • 資料類型: 電子書
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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.
來源: Google Book
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