Speech prediction using higher order neural networks

Authors:
Abir Jaafar Husssain;Ahmed J. Jameel;Dhiya Al-Jumeily;Rozaida Ghazali
Affiliations:
Ahlia University, Kingdom of Bahrain and Liverpool John Moores University, School of Computing and Mathematical Sciences, Liverpool, UK and Faculty of Information Technology and Multimedia, Univer ...;Ahlia University, Kingdom of Bahrain and Liverpool John Moores University, School of Computing and Mathematical Sciences, Liverpool, UK and Faculty of Information Technology and Multimedia, Univer ...;Ahlia University, Kingdom of Bahrain and Liverpool John Moores University, School of Computing and Mathematical Sciences, Liverpool, UK and Faculty of Information Technology and Multimedia, Univer ...;Ahlia University, Kingdom of Bahrain and Liverpool John Moores University, School of Computing and Mathematical Sciences, Liverpool, UK and Faculty of Information Technology and Multimedia, Univer ...
Venue:
IIT'09 Proceedings of the 6th international conference on Innovations in information technology
Year:
2009

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Abstract

In this paper, we present the use of higher order neural networks for the prediction of speech signal. Various neural network structure have been used for our experiments these include the functional link neural network and pi-sigma neural network. Extensive experimentation is carried out to evaluate the performance of the higher order networks on the speech prediction platform. Simulation results indicated that the functional link network showed higher signal to noise ratio in comparison to the pisigma neural networks.