Neural speech predictors

Abstract

In this paper we propose a new neural network architecture that deploys and extended Kalman filter (EKF) based learning algorithm. We used the new neural network for the prediction of speech signals. Simulation results show that the neural networks leads to better performance than the well known linear predictor coefficients (LPC) that uses Levinson-Durbin algorithm.