Automating The Design Of Sound Synthesis Techniques Using Evolutionary Methods

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Ricardo A. Garcia",
  title =        "Automating The Design Of Sound Synthesis Techniques
                 Using Evolutionary Methods",
  booktitle =    "Proceedings of the COST G-6 Conference on Digital
                 Audio Effects (DAFX-01)",
  year =         "2001",
  editor =       "Mikael Fernstrom",
  address =      "Limerick, Ireland",
  month =        dec # " 6-8",
  keywords =     "genetic algorithms, genetic programming",
  citeseer-isreferencedby = "oai:CiteSeerPSU:97342",
  citeseer-references = "oai:CiteSeerPSU:32686; oai:CiteSeerPSU:286517",
  annote =       "The Pennsylvania State University CiteSeer Archives",
  language =     "en",
  oai =          "oai:CiteSeerPSU:569030",
  rights =       "unrestricted",
  URL =          "",
  URL =          "",
  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
  notes =        "",

Genetic Programming entries for Ricardo A Garcia