论文标题
基于MLP，RBF和ELMAN的预测，非线性语音编码
Non-Linear Speech coding with MLP, RBF and Elman based prediction
论文作者
论文摘要
在本文中，我们根据多层感知器，径向基函数和Elman网络的组合提出了一个非线性标量预测变量。该系统应用于ADPCM向后方案中的语音编码。该预测因子的组合可改善一个单独的预测变量的结果。还提出了对这三个语音预测的三个神经网络的比较研究。
In this paper we propose a nonlinear scalar predictor based on a combination of Multi Layer Perceptron, Radial Basis Functions and Elman networks. This system is applied to speech coding in an ADPCM backward scheme. The combination of this predictors improves the results of one predictor alone. A comparative study of this three neural networks for speech prediction is also presented.
