Automatic design of sound synthesizers as pure data patches using coevolutionary mixed-typed cartesian genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Macret:2014:GECCO,
  author =       "Matthieu Macret and Philippe Pasquier",
  title =        "Automatic design of sound synthesizers as pure data
                 patches using coevolutionary mixed-typed cartesian
                 genetic programming",
  booktitle =    "GECCO '14: Proceedings of the 2014 conference on
                 Genetic and evolutionary computation",
  year =         "2014",
  editor =       "Christian Igel and Dirk V. Arnold and 
                 Christian Gagne and Elena Popovici and Anne Auger and 
                 Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and 
                 Kalyanmoy Deb and Benjamin Doerr and James Foster and 
                 Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and 
                 Hitoshi Iba and Christian Jacob and Thomas Jansen and 
                 Yaochu Jin and Marouane Kessentini and 
                 Joshua D. Knowles and William B. Langdon and Pedro Larranaga and 
                 Sean Luke and Gabriel Luque and John A. W. McCall and 
                 Marco A. {Montes de Oca} and Alison Motsinger-Reif and 
                 Yew Soon Ong and Michael Palmer and 
                 Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and 
                 Guenther Ruhe and Tom Schaul and Thomas Schmickl and 
                 Bernhard Sendhoff and Kenneth O. Stanley and 
                 Thomas Stuetzle and Dirk Thierens and Julian Togelius and 
                 Carsten Witt and Christine Zarges",
  isbn13 =       "978-1-4503-2662-9",
  pages =        "309--316",
  keywords =     "genetic algorithms, genetic programming, cartesian
                 genetic programming",
  month =        "12-16 " # jul,
  organisation = "SIGEVO",
  address =      "Vancouver, BC, Canada",
  URL =          "http://doi.acm.org/10.1145/2576768.2598303",
  DOI =          "doi:10.1145/2576768.2598303",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "A sound synthesizer can be defined as a program that
                 takes a few input parameters and returns a sound. The
                 general sound synthesis problem could then be
                 formulated as: given a sound (or a set of sounds) what
                 program and set of input parameters can generate that
                 sound (set of sounds)? We propose a novel approach to
                 tackle this problem in which we represent sound
                 synthesisers using Pure Data (Pd), a graphic
                 programming language for digital signal processing. We
                 search the space of possible sound synthesisers using
                 Coevolutionary Mixed-typed Cartesian Genetic
                 Programming (MT-CGP), and the set of input parameters
                 using a standard Genetic Algorithm (GA). The proposed
                 algorithm co-evolves a population of MT-CGP graphs,
                 representing the functional forms of synthesisers, and
                 a population of GA chromosomes, representing their
                 inputs parameters. A fitness function based on the
                 Mel-frequency Cepstral Coefficients (MFCC) evaluates
                 the distance between the target and produced sounds.
                 Our approach is capable of suggesting novel functional
                 forms and input parameters, suitable to approximate a
                 given target sound (and we hope in future iterations a
                 set of sounds). Since the resulting synthesizers are
                 presented as Pd patches, the user can experiment,
                 interact with, and reuse them.",
  notes =        "http://metacreation.net/automatic-puredata-patch-generation/
                 Music

                 Also known as \cite{2598303} GECCO-2014 A joint meeting
                 of the twenty third international conference on genetic
                 algorithms (ICGA-2014) and the nineteenth annual
                 genetic programming conference (GP-2014)",
}

Genetic Programming entries for Matthieu Macret Philippe Pasquier

Citations