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

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@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