Evolutionary Computer Music (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

Produktdetails

• Verlag: Springer London
• Erscheinungstermin: 12. Oktober 2007
• Englisch
• ISBN-13: 9781846286001
• Artikelnr.: 37344784

Autorenporträt

Eduardo Reck Miranda is a Professor in Computer Music at the University of Plymouth, UK, where he heads the Interdisciplinary Centre for Computer Music Research (ICCMR). He has recently been appointed the Edgard Varèse Guest Professor of Computer Music at the Technical University of Berlin.

Al Biles has been applying evolutionary computation to music since 1993, when he built the first of many versions of GenJam, the Genetic Jammer. Since that time he and GenJam have performed around the world together, and Al has watched the field of evolutionary computer music emerge as a fascinating creative enterprise. Al is Professor and Undergraduate Program Coordinator in the Department of Information Technology at the Rochester Institute of Technology.

Inhaltsangabe

An Introduction to Evolutionary Computing for Musicians.- Evolutionary Computation for Musical Tasks.- Evolution in Digital Audio Technology.- Evolution in Creative Sound Design.- Experiments in Generative Musical Performance with a Genetic Algorithm.- Composing with Genetic Algorithms: GenDash.- Improvizing with Genetic Algorithms: GenJam.- Cellular Automata Music: From Sound Synthesis to Musical Forms.- Swarming and Music.- Computational Evolutionary Musicology.