Nonlinear speech coding model based on genetic programming

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@Article{Wu:2013:ASC,
  author =       "Xiaojun Wu and Zhanzhong Yang",
  title =        "Nonlinear speech coding model based on genetic
                 programming",
  journal =      "Applied Soft Computing",
  volume =       "13",
  number =       "7",
  pages =        "3314--3323",
  year =         "2013",
  keywords =     "genetic algorithms, genetic programming, Nonlinear
                 modeling, Speech coding",
  ISSN =         "1568-4946",
  DOI =          "doi:10.1016/j.asoc.2013.02.008",
  URL =          "http://www.sciencedirect.com/science/article/pii/S1568494613000628",
  abstract =     "An improved genetic programming is proposed in this
                 paper to construct the nonlinear models of speech
                 signals, and the speech coding is further accomplished.
                 After the preprocessing of the speech signals, the
                 improved GP is used to construct the corresponding
                 model of each speech frame. Then by analysing these
                 models, a normalised model that has generalisation
                 ability is obtained. And finally the process of speech
                 coding is accomplished by the optimising the parameters
                 of the normalized model using an optimization
                 algorithm. Experiments demonstrate that the feasibility
                 of the improved GP in the modelling of speech signals,
                 and show the superiority of the proposed method in
                 speech coding based on the comparisons with the linear
                 predictive coding.",
}

Genetic Programming entries for Xiaojun Wu Zhanzhong Yang

Citations