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In this paper we propose a nonlinear scalar predictor based on a combinationof Multi Layer Perceptron, Radial Basis Functions and Elman networks. Thissystem is applied to speech coding in an ADPCM backward scheme. The combinationof this predictors improves the results of one predictor alone. A comparativestudy of this three neural networks for speech prediction is also presented.

Non-Linear Speech coding with MLP, RBF and Elman based prediction