Nonlinear speech coding model based on genetic programming
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gp-bibliography.bib Revision:1.8051
- @Article{Wu:2013:ASC,
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author = "Xiaojun Wu and Zhanzhong Yang",
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title = "Nonlinear speech coding model based on genetic
programming",
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journal = "Applied Soft Computing",
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volume = "13",
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number = "7",
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pages = "3314--3323",
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year = "2013",
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keywords = "genetic algorithms, genetic programming, Nonlinear
modeling, Speech coding",
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ISSN = "1568-4946",
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DOI = "doi:10.1016/j.asoc.2013.02.008",
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URL = "http://www.sciencedirect.com/science/article/pii/S1568494613000628",
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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