Automating The Design Of Sound Synthesis Techniques Using Evolutionary Methods
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{oai:CiteSeerPSU:569030,
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author = "Ricardo A. Garcia",
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title = "Automating The Design Of Sound Synthesis Techniques
Using Evolutionary Methods",
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booktitle = "Proceedings of the COST G-6 Conference on Digital
Audio Effects (DAFX-01)",
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year = "2001",
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editor = "Mikael Fernstrom",
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address = "Limerick, Ireland",
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month = dec # " 6-8",
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keywords = "genetic algorithms, genetic programming",
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citeseer-isreferencedby = "oai:CiteSeerPSU:97342",
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citeseer-references = "oai:CiteSeerPSU:32686; oai:CiteSeerPSU:286517",
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annote = "The Pennsylvania State University CiteSeer Archives",
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language = "en",
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oai = "oai:CiteSeerPSU:569030",
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rights = "unrestricted",
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URL = "http://www.csis.ul.ie/dafx01/proceedings/navig/../papers/garcia.pdf",
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URL = "http://citeseer.ist.psu.edu/569030.html",
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abstract = "Digital sound synthesizers, ubiquitous today in sound
cards, software and dedicated hardware, use algorithms
(Sound Synthesis Techniques, SSTs) capable of
generating sounds similar to those of acoustic
instruments and even totally novel sounds. The design
of SSTs is a very hard problem. It is usually assumed
that it requires human ingenuity to design an algorithm
suitable for synthesizing a sound with certain
characteristics. Many of the SSTs commonly used are the
fruit of experimentation and a long refinement
processes. A SST is determined by its functional form
and internal parameters. Design of SSTs is usually done
by selecting a fixed functional form from a handful of
commonly used SSTs, and performing a parameter
estimation technique to find a set of internal
parameters that will best emulate the target sound. A
new approach for automating the design of SSTs is
proposed. It uses a set of examples of the desired
behavior of the SST in the form of inputs + target
sound. The approach is capable of suggesting novel
functional forms and their internal parameters, suited
to follow closely the given examples. Design of a SST
is stated as a search problem in the SST space (the
space spanned by all the possible valid functional
forms and internal parameters, within certain limits to
make it practical). This search is done using
evolutionary methods; specifically, Genetic Programming
(GP).",
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notes = "http://www.csis.ul.ie/dafx01/programme.html",
- }
Genetic Programming entries for
Ricardo A Garcia
Citations