- author = "Peter Velikonja",
- title = "Autonomous Music Via Artificial Evolution",
- school = "Department of Music, Princeton University",
- year = "2004",
- address = "USA",
- month = jan,
- keywords = "genetic algorithms, genetic programming",
-
URL = "
http://www.worldcat.org/title/autonomous-music-via-artificial-evolution/oclc/54361714",
-
URL = "http://search.proquest.com/docview/908176681",
- size = "70 pages",
-
abstract = "The potential of a computer to compose original music
using a quasi-autonomous method is explored. Using a
genetic-programming technique, an artificial life
environment controls an additive-synthesis audio
engine. Emphasis is placed on the musical quality of
results rather than on a particular research goal. The
problem of human versus evolutionary time is discussed,
as is the degree of control a composer may exercise
over a nominally autonomous process.
We know from experience that computers need careful guidance to create even the simplest musical sounds; but the potential of computers has inspired many composers to use them as tools or even as active partners. Computers excel at repetition and numeric calculation--which is not surprising, as computer programs consist fundamentally of variable assignments and loops. It is not a simple matter to construct music from these building blocks. The formal constructs of programming languages do not translate naturally into musical syntax, and obtaining aural complexity from a computer is always a challenge. Yet composers persist with this compelling notion: we know computers can work tirelessly on intricate problems, so we can imagine them creating a new kind of music--perhaps one not fully ruled by human logic. We may not understand the results; nonetheless we are curious. The paper is in four parts, which are progressively less technical. Part 1 explains why artificial evolution should be a useful technique for automatic music composition. It explains why frames of digital audio are generated rather than musical notes or phrases; an overview of genetic programming is followed by test examples. Part 2 applies the technique to create musical sounds. Part 3 introduces methods a composer might follow to obtain musical variety. Part 4 describes two musical compositions created by the author, Suite for Proteins and Passacaglia Polymer C3 . An Appendix describes the C++ implementation. Audio and code examples are included on two CDs.",
-
notes = "Passacaglia Polymer C3, Suite for Proteins 'The
complete code is in hypotenuse.tar, which compiles and
runs on Windows (MSVC 6.0), Mac OS X and
linux.'
https://www.princeton.edu/.../List-of-Doctorates-and-Dissertation-Titles-most-recent.doc Perry R. Cook
OCLC Number: 54361714
UMI Microform 3110252 Oct 2016 Proquest URL already broken but it is still on the web pages, use search",
