Algorithmic Composition: A Guide to Composing Music with Nyquist - Tapa dura

9780472118687: Algorithmic Composition: A Guide to Composing Music with Nyquist

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Reseña del editor

Composers have used formalized procedures to create music throughout history. With the advent of the computer, algorithmic composition allows composers not only to create and experiment with different formalisms, but to hear and evaluate results quickly. Often in algorithmic composition, the composer has only a vague idea how the output will sound, but because the input is highly automated, the composer can make adjustments to take advantage of happy accidents, program bugs, and other creative sources of sound. Algorithmic Composition: A Guide to Composing Music with Nyquist provides an overview of procedural approaches to music generation. It introduces programming concepts through many examples written using the Nyquist system for music composition and sound synthesis. Nyquist is freely available software, and over 100 program examples from this book are available in electronic form. Readers will be well equipped to develop their own algorithms for composition. Music students who are learning about computer music and electronic music will all be interested in this innovative book, as generative music becomes an important part of the future of the discipline. Students and scholars in computer science will also find much to interest them, in a straightforward and fun way.

Biografía del autor

Mary Simoni is Dean of the School of Humanities, Arts, and Social Sciences at Rensselaer Polytechnic Institute. Roger B. Dannenberg is Associate Research Professor at Carnegie Mellon University.

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  • EditorialThe University of Michigan Press
  • Año de publicación2013
  • ISBN 10 0472118684
  • ISBN 13 9780472118687
  • EncuadernaciónTapa dura
  • IdiomaInglés
  • Número de páginas264

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Otras ediciones populares con el mismo título

9780472035236: Algorithmic Composition: A Guide to Composing Music with Nyquist

Edición Destacada

ISBN 10:  0472035231 ISBN 13:  9780472035236
Editorial: The University of Michigan Press, 2013
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