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Algorithmic Composition

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出版日:2015/02/14 作者:Gerhard Nierhaus (EDT)  出版社:Springer Verlag  裝訂:精裝
The present book is the result of a three year research project which investigated the creative act of composing by means of algorithmic composition. Central to the investigation are the compositional
若需訂購本書,請電洽客服 02-25006600[分機130、131]。
出版日:2018/02/15 作者:Roger T. Dean (EDT); Alex McLean (EDT)  出版社:Oxford Univ Pr  裝訂:精裝
With the ongoing development of algorithmic composition programs and communities of practice expanding, algorithmic music faces a turning point. Joining dozens of emerging and established scholars alo
若需訂購本書,請電洽客服 02-25006600[分機130、131]。
出版日:2008/12/04 作者:Gerhard Nierhaus  出版社:Springer Verlag Wien  裝訂:精裝
Algorithmic composition – composing by means of formalizable methods – has a century old tradition not only in occidental music history. This is the first book to provide a detailed overview of promin
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The Haskell School of Music ― From Signals to Symphonies
90 折
出版日:2018/07/31 作者:Paul Hudak  出版社:Cambridge Univ Pr  裝訂:精裝
This book explores the fundamentals of computer music and functional programming through the Haskell programming language. Functional programming is typically considered difficult to learn. This introduction in the context of creating music will allow students and professionals with a musical inclination to leverage their experience to help understand concepts that might be intimidating in more traditional computer science settings. Conversely, the book opens the door for programmers to interact with music by using a medium that is familiar to them. Readers will learn how to use the Euterpea library for Haskell (http://www.euterpea.com) to represent and create their own music with code, without the need for other music software. The book explores common paradigms used in algorithmic music composition, such as stochastic generation, musical grammars, self-similarity, and real-time interactive systems. Other topics covered include the basics of signal-based systems in Haskell, sound synt
優惠價: 9 2591
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