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1 Burnside Music- Theory and Composition

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Machine Models of Music

by

Machine Models of Music Cover

 

Synopses & Reviews

Publisher Comments:

Machine Models of Music brings together representative models ranging from Mozart's "Musical Dice Game" to a classic article by Marvin Minsky and current research to illustrate the rich impact that artificial intelligence has had on the understanding and composition of traditional music and to demonstrate the ways in which music can push the boundaries of traditional Al research.Major sections of the book take up pioneering research in generate-and-test composition (Lejaren Hiller, Barry Brooks, Jr., Stanley Gill); composition parsing (Allen Forte, Herbert Simon, Terry Winograd); heuristic composition (John Rothgeb, James Moorer, Steven Smoliar); generative grammars (Otto Laske, Gary Rader, Johan Sundberg, Fred Lerdahl); alternative theories (Marvin Minsky, James Meehan); composition tools (Charles Ames, Kemal Ebcioglu, David Cope, C. Fry); and new directions (David Levitt, Christopher Longuet-Higgins, Jamshed Bharucha, Stephan Schwanauer).Stephan Schwanauer is President of Mediasoft Corporation. David Levitt is the founder of HIP Software and head of audio products at VPL Research.

Synopsis:

Machine Models of Music brings together representative models and current research to illustrate the rich impact that artificial intelligence has had on the understanding and composition of traditional music and to demonstrate the ways in which music can push the boundaries of traditional Al research.

About the Author

Stephan Schwanauer is President of Mediasoft Corporation.David Levitt is the founder of HIP Software and head of audio products at VPL Research.

Product Details

ISBN:
9780262193191
Other:
Schwanauer, Stephan M.
Publisher:
Mit Press
Other:
Schwanauer, Stephan M.
Author:
Schwanauer, Stephen
Author:
Levitt, David
Author:
Schwanauer, Stephan
Location:
Cambridge, Mass. :
Subject:
Computer Science
Subject:
Composition
Subject:
Artificial Intelligence
Subject:
Artificial intelligence -- Musical applications.
Subject:
Musical applications
Subject:
Artificial Intelligence - General
Subject:
Instruction & Study - Composition
Subject:
Intelligence (AI) & Semantics
Subject:
Music-Theory and Composition
Copyright:
Edition Description:
Includes bibliographical references and index.
Series:
Machine Models of Music
Series Volume:
500-195.
Publication Date:
19930131
Binding:
HARDCOVER
Grade Level:
from 17
Language:
English
Illustrations:
Yes
Pages:
556
Dimensions:
9.1 x 6.1 x 1.6 in

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Related Subjects

Arts and Entertainment » Music » Instruction and Study » Composition
Arts and Entertainment » Music » Instruction and Study » Theory and Composition
Arts and Entertainment » Music » Science of Music
Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General
Computers and Internet » Multimedia » Music
Computers and Internet » Personal Computers » General
Science and Mathematics » Environmental Studies » General

Machine Models of Music Used Hardcover
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Product details 556 pages MIT Press - English 9780262193191 Reviews:
"Synopsis" by , Machine Models of Music brings together representative models and current research to illustrate the rich impact that artificial intelligence has had on the understanding and composition of traditional music and to demonstrate the ways in which music can push the boundaries of traditional Al research.
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