ZHENG Huiyong, XIAO Tianyuan, HAN Xiangli, LIU Huaqiang, DAI Guanzhong. RESEARCH ON MODELLING VOICE NON-LINEAR DYNAMIC SYSTEMS[J]. INFORMATION AND CONTROL, 1999, 28(2): 107-110.
Citation: ZHENG Huiyong, XIAO Tianyuan, HAN Xiangli, LIU Huaqiang, DAI Guanzhong. RESEARCH ON MODELLING VOICE NON-LINEAR DYNAMIC SYSTEMS[J]. INFORMATION AND CONTROL, 1999, 28(2): 107-110.

RESEARCH ON MODELLING VOICE NON-LINEAR DYNAMIC SYSTEMS

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  • Received Date: April 13, 1997
  • Published Date: April 19, 1999
  • This paper presents, the use of recursive prediction error algorithm(RPE) of training multilayered artificial neural neural(ANN) networks in discrete time non-linear dynamic system identification. As an example, the nonlinear voice dynamic system is modelled based on RPE algorithm. The results provide a good foundation to understand and identify voice model.
  • 1 Billings,et al.A Comprision of the Backpropagation and Recursive Prediction Error Algorithms for Training Neural Networks.Mechnical Systems and Signal Processing,1991:233~255
    2 杨熔,李永华,苏义鑫.用神经网络建立非线性系统模型研究.控制理论与应用,1995,12(1): 81~85
    3 Takens F.Detecting Strange Attractors in Turbulence.Lecture Notes in Mathematics,D.A.Rand and L.-S. Young,Eds,Springer,Berlin,1981:727
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