Nonlinear bi-directional prediction model of speech signals based on genetic programming

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@InProceedings{Ren:2013:CCC,
  author =       "Zhepo Ren and Zhijian Li and Xiaojun Wu and 
                 Xiaobo Ou",
  title =        "Nonlinear bi-directional prediction model of speech
                 signals based on genetic programming",
  booktitle =    "32nd Chinese Control Conference (CCC 2013)",
  year =         "2013",
  month =        "26-28 " # jul,
  pages =        "7971--7975",
  address =      "Xi'an, China",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-9-8815-6383-5",
  URL =          "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6640844",
  abstract =     "Based on the linear prediction theory, This paper
                 proposes a nonlinear bi-directional prediction model
                 for speech signals. After the data preprocessing, an
                 improved GP is used to construct bi-directional
                 prediction model of each frame. Then by the analysis of
                 these models, the normalised nonlinear bi-directional
                 prediction model is obtained. In the experiments, the
                 DUPSO algorithm is used to optimise the parameters. By
                 comparing the SNR and MMSE with the linear prediction
                 model, the superiority of the proposed nonlinear
                 bi-directional prediction model is proved.",
  notes =        "In Chinese.

                 Also known as \cite{6640844}",
}

Genetic Programming entries for Zhepo Ren Zhijian Li Xiaojun Wu Xiaobo Ou

Citations