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Titlebook: Evolutionary Computer Music; Eduardo Reck Miranda,John Al Biles Book 2007 Springer-Verlag London 2007 Audio.algorithms.automata.cognition.

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發(fā)表于 2025-3-21 18:14:24 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Evolutionary Computer Music
編輯Eduardo Reck Miranda,John Al Biles
視頻videohttp://file.papertrans.cn/318/317904/317904.mp4
概述Features chapters on the interplay between Evolutionary Computation and Music by leading pioneers in the field.No direct competition
圖書封面Titlebook: Evolutionary Computer Music;  Eduardo Reck Miranda,John Al Biles Book 2007 Springer-Verlag London 2007 Audio.algorithms.automata.cognition.
描述.Musicians, perhaps more than any other class of artists, have always been acutely aware of the scientific developments of their time. From the discovery almost three thousand years ago of the direct relationship between the pitch of a note and the length of a string or pipe, to the latest computer models of human musical cognition and intelligence, musicians have always looked to science to provide new and challenging ways to study and compose music. With the great scientific advances being made in the field of evolutionary biology, from new insights into the origins of humans and other species to complete mappings of the genes that control our growth and development, a new approach to the study of music is emerging: the evolutionary computation approach. This book features chapters on the interplay between Evolutionary Computation and Music by leading pioneers in the field. .
出版日期Book 2007
關鍵詞Audio; algorithms; automata; cognition; composing; computer; computer simulation; development; evolution; evo
版次1
doihttps://doi.org/10.1007/978-1-84628-600-1
isbn_ebook978-1-84628-600-1
copyrightSpringer-Verlag London 2007
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Evolutionary Computation for Musical Tasks, problem domain for EC researchers. Since we cannot hope to provide even a bare-bones treatise on music appreciation, much less music theory, we assume that the reader is at least somewhat familiar with music, if not as a producer, at least as a consumer. We will start by trying to define some music
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Evolution in Digital Audio Technology,hods has long been the El Dorado of the computer music community. Here is what James Moorer, the pioneering computer music researcher at Stanford University and later director of the audio project at Lucasfilm, had to say about it (Roads 1982):
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Experiments in Generative Musical Performance with a Genetic Algorithm,haping physical parameters of performance, such as timing, loudness, tempo and articulation. Expressive music performance research is aimed at establishing why, where and how these deviations take place in a piece of music. Interestingly, even though there are many commonalities in performance pract
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Composing with Genetic Algorithms: ,,ears, the author has written and rewritten a computer program called . that employs evolutionary computation. . has been used to help compose pieces ranging from works scored for solo human speaker to string quartets to orchestral works to pieces for instrumentalist and electronic computer music to
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發(fā)表于 2025-3-22 18:42:17 | 只看該作者
Improvizing with Genetic Algorithms: ,,a tune. As you pause outside to listen, it sounds like a tenor sax player backed up by a standard jazz trio of piano, bass and drums. You recognize the tune as John Coltrane’s . as the tenor player plays the song’s original melody in the first chorus of the tune. Once this ‘head’ chorus is complete,
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Cellular Automata Music: From Sound Synthesis to Musical Forms,delling dynamic systems in which space and time are discrete, and quantities take on a finite set of discrete values. CA are highly suitable for modelling music: music is fundamentally time-based and it can be thought of as a system in which a finite set of discrete values (e.g. musical notes, rhyth
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Background: Setting the Geopolitical Stagessues pertinent to musical applications of the methodology. Thus this chapter should furnish readers with the necessary background needed to understand the remaining chapters in this volume as well as open up a number of important themes relevant to this collection.
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