Nonlinear adaptive prediction of speech with a pipelined recurrent neural network

Non-linear Adaptive Prediction of Speech with a Pipelined Recurrent Neural Network and a Linearised Recursive Least Squares Algorithm

A novel linearised Recursive Least Squares (LRLS) learning algorithm is presented for an adaptive non-linear forward predictor based on a Pipelined Recurrent Neural Network (PRNN). Simulation studies with speech signals show that the non-linear predictor does not perform satisfactorily when the previously proposed stochastic gradient (SG) algorithm is used. However, significantly improved resul...

Non-linear Adaptive Prediction of Speech with a Pipelined Recurrent Neural Network and Advanced Learning Algorithms

A Comparison between Recurrent Neural Architectures for Real-time Nonlinear Prediction of Speech Signals

This paper presents a comparative study on the performance of recurrent neural networks trained in real-time to predict the next sample in a speech signal. The comparison is basically done versus linear predictors, and a pipelined recurrent neural network which has been proposed for this task. Results confirm those of previous works where limitations to deal with numeric time series were detect...

Multi-Step-Ahead Prediction of Stock Price Using a New Architecture of Neural Networks

Modelling and forecasting Stock market is a challenging task for economists and engineers since it has a dynamic structure and nonlinear characteristic. This nonlinearity affects the efficiency of the price characteristics. Using an Artificial Neural Network (ANN) is a proper way to model this nonlinearity and it has been used successfully in one-step-ahead and multi-step-ahead prediction of di...

Narrow-Band Interference Suppression in Spread-Spectrum CDMA Communications Using Pipelined Recurrent Neural Networks

This paper investigates the application of pipelined recurrent neural networks (PRNN’s) to the narrow-band interference (NBI) suppression over spread-spectrum (SS) code-division multiple-access (CDMA) channels in the presence of additive white Gaussian noise (AWGN) plus non-Gaussian observation noise. Optimal detectors and receivers for such channels are no longer linear. A PRNN that consists o...