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