A NEURAL-NETWORK-BASED APPROACH TO SPEECH SIGNAL PREDICTION

作者:De Figueiredo Rui J P*
来源:Revue Roumaine des Sciences Techniques-Serie Electrotechnique et Energetique, 2010, 55(1): 42-48.

摘要

In this paper a new approach to speech signal prediction is presented. The approach deploys an EKF (Extended Kalman Filter)-based learning algorithm for this application. Simulation results show that the proposed neural network approach leads to better performance than the well-known linear predictive coding (LPC) approach which uses the Levinson-Durbin algorithm for predictor design.

  • 出版日期2010-3