• 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