Non-linear predictor based on ANN in speech coding

In this paper, non-linear predictors based on different artificial neural network (ANN) are compared. General radical basis function (GERBF) neural network, a modified RBF network, is introduced. From the comparison with BP, RNN and RBF, it is obvious that GERBF has priority in the prediction of speech signal. The experiment results show: the speech coding systems based on ANN have better synthesized speech than ITU´s G721 and the speech coding system based on GERBF has higher mean segmental SNR but less computation than that of other systems.