Connectionist Representations of Tonal Music: Discovering Musical Patterns by Interpreting Artifical Neural Networks - Softcover
Synopsis
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 of four different 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 networks is provided for each case study which together demonstrate that focusing on the internal structure of trained networks could yield important contributions to the field of music cognition.
"synopsis" may belong to another edition of this title.
About the Author
Michael R. W. Dawson is a professor of psychology at the University of Alberta. He is the author of numerous scientific papers as well as the books Mind, Body, World: Foundations of Cognitive Science (2013) and From Bricks to Brains: The Embodied Cognitive Science of LEGO Robots (2010).
"About this title" may belong to another edition of this title.
Search results for Connectionist Representations of Tonal Music: Discovering...
Stock Image
Connectionist Representations of Tonal Music
Published by
MN - University of British Columbia Press, 2018
ISBN 10: 1771992204
ISBN 13: 9781771992206
New
PAP
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # FW-9781771992206
Stock Image
Connectionist Representations of Tonal Music (Paperback)
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. 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 of four different 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 networks is provided for each case study which together demonstrate that focusing on the internal structure of trained networks could yield important contributions to the field of music cognition. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781771992206
Seller Image
Connectionist Representations of Tonal Music
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. 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 of four different 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 networks is provided for each case study which together demonstrate that focusing on the internal structure of trained networks could yield important contributions to the field of music cognition. Seller Inventory # LU-9781771992206
Stock Image
Connectionist Representations of Tonal Music: Discovering Musical Patterns by Interpreting Artifical Neural Networks (eng)
Published by
Athabasca University Press, 2018
ISBN 10: 1771992204
ISBN 13: 9781771992206
New
Softcover
Seller: Brook Bookstore On Demand, Napoli, NA, Italy
Seller rating 5 out of 5 stars
Condition: new. Seller Inventory # bd870f2601757432ff59beab9dd5301f
Stock Image
Connectionist Representations of Tonal Music: Discovering Musical Patterns by Interpreting Artifical Neural Networks
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. Seller Inventory # B9781771992206
Stock Image
Connectionist Representations of Tonal Music: Discovering Musical Patterns by Interpreting Artificial Neural Networks
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 295 pages. 8.75x6.00x0.75 inches. In Stock. Seller Inventory # __1771992204
Stock Image
Connectionist Representations of Tonal Music: Discovering Musical Patterns by Interpreting Artifical Neural Networks
Published by
Athabasca University Press, 2018
ISBN 10: 1771992204
ISBN 13: 9781771992206
New
Softcover
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 4 out of 5 stars
Condition: New. pp. 320. Seller Inventory # 384100360
Stock Image
Connectionist Representations of Tonal Music: Discovering Musical Patterns by Interpreting Artifical Neural Networks
Published by
Athabasca University Press, 2018
ISBN 10: 1771992204
ISBN 13: 9781771992206
New
Softcover
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. pp. 320. Seller Inventory # 26378755031
Seller Image
Connectionist Representations of Tonal Music
Published by
UNIV OF BRITISH COLUMBIA, 2018
ISBN 10: 1771992204
ISBN 13: 9781771992206
New
Kartoniert / Broschiert
Seller: moluna, Greven, Germany
Seller rating 4 out of 5 stars
Kartoniert / Broschiert. Condition: New. Über den AutorMichael R. W. Dawson is professor of psychology at the University of Alberta and the author of Understanding Cognitive Science (1998), Minds and Machines (2004), Connectionism:. Seller Inventory # 596796928
Stock Image
Connectionist Representations of Tonal Music (Paperback)
Seller: AussieBookSeller, Truganina, VIC, Australia
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. 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 of four different 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 networks is provided for each case study which together demonstrate that focusing on the internal structure of trained networks could yield important contributions to the field of music cognition. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781771992206