DocumentCode
3482004
Title
Speech prediction using higher order neural networks
Author
Husssain, Abir Jaafar ; Jameel, Ahmed J. ; Al-Jumeily, Dhiya ; Ghazali, Rozaida
fYear
2009
fDate
15-17 Dec. 2009
Firstpage
294
Lastpage
298
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 pi-sigma neural networks.
Keywords
neural nets; speech processing; functional link neural network; higher order networks; higher order neural networks; pi-sigma neural network; signal to noise ratio; speech prediction platform; speech signal prediction; Computer networks; Equations; Floors; Information technology; Multimedia computing; Network topology; Neural networks; Problem-solving; Signal to noise ratio; Speech analysis; Functional Link Network; High Order Neural Networks; Pi sigma Network; Speech time series;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovations in Information Technology, 2009. IIT '09. International Conference on
Conference_Location
Al Ain
Print_ISBN
978-1-4244-5698-7
Type
conf
DOI
10.1109/IIT.2009.5413785
Filename
5413785
Link To Document