Speech Sound Discrimination With Genetic Programming   [GP]

by

Conrads, M., Nordin, P. and Banzhaf, W.

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Info: Proceedings of the First European Workshop on Genetic Programming (Conference proceedings), 1998, p. 113-129
Keywords:genetic algorithms, genetic programming
Abstract:
The question that we investigate in this paper is, whether it is possible for Genetic Programming to [GP] extract certain regularities from raw time series data [TS] [TSD] of human speech. We examine whether a genetic programming algorithm [GP] can find programs that are able to discriminate certain spoken vowels and consonan ts. We present evidence that this can indeed be achieved with a surprisingly simple approach that does not need preprocessing. The data we have collec ted on the system's behavior show that even speaker-independent discriminatio n is possible with GP.
Notes:
EuroGP'98
Author(s) DL:Online papers for Nordin, P.
Online papers for Banzhaf, W.

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BibTex:
@InProceedings{conrads:1998:ssdGP,
  author =       "Markus Conrads and Peter Nordin and Wolfgang Banzhaf",
  title =        "Speech Sound Discrimination With Genetic Programming",
  booktitle =    "Proceedings of the First European Workshop on Genetic
                 Programming",
  year =         "1998",
  editor =       "Wolfgang Banzhaf and Riccardo Poli and Marc Schoenauer
                 and Terence C. Fogarty",
  volume =       "1391",
  series =       "LNCS",
  pages =        "113--129",
  address =      "Paris",
  publisher_address = "Berlin",
  month =        "14-15 " # apr,
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-64360-5",
  abstract =     "The question that we investigate in this paper is,
                 whether it is possible for Genetic Programming to
                 extract certain regularities from raw time series data
                 of human speech. We examine whether a genetic
                 programming algorithm can find programs that are able
                 to discriminate certain spoken vowels and consonan ts.
                 We present evidence that this can indeed be achieved
                 with a surprisingly simple approach that does not need
                 preprocessing. The data we have collec ted on the
                 system's behavior show that even speaker-independent
                 discriminatio n is possible with GP.",
  notes =        "EuroGP'98",
}