Nonlinear Bi-directional Prediction Model of Speech Signals Based on Genetic Programming

被引：0

作者：

Ren Zhepo ^{[1
]}

Li Zhijian ^{[1
]}

Wu Xiaojun ^{[1
,2
]}

Ou Xiaobo ^{[1
]}

机构：

[1] Northwestern Polytech Univ, Sch Automat, Xian 710072, Peoples R China

[2] Shaanxi Normal Univ, Sch Comp Sci, Xian 710062, Peoples R China

来源：

2013 32ND CHINESE CONTROL CONFERENCE (CCC) | 2013年

关键词：

Speech Signals; Genetic Programming; Nonlinear Bi-directional Prediction; DUPSO algorithm;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 normalized nonlinear bi-directional prediction model is obtained. In the experiments, the DUPSO algorithm is used to optimize 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.

引用

页码：7971 / 7975

页数：5

共 5 条

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