Speech prediction using higher order neural networks

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 evaluat...

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Bibliographic Details
Main Authors: Husssain, Abir Jaafar, Jameel, Ahmed J, Al-Jumeily, Dhiya, Ghazali, Rozaida
Format: Conference Proceeding
Language:English
Subjects:
Computer networks
Equations
Floors
Functional Link Network
High Order Neural Networks
Information technology
Multimedia computing
Network topology
Neural networks
Pi sigma Network
Problem-solving
Signal to noise ratio
Speech analysis
Speech time series
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Summary: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 pi-sigma neural networks.
DOI:10.1109/IIT.2009.5413785