• DocumentCode
    2730107
  • Title

    Neural speech predictors

  • Author

    de Figueiredo, Rui J.P. ; Akay, Enis

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Irvine, CA
  • fYear
    2008
  • fDate
    10-11 July 2008
  • Firstpage
    47
  • Lastpage
    49
  • Abstract
    In this paper we propose a new neural network architecture that deploys and extended Kalman filter (EKF) based learning algorithm. We used the new neural network for the prediction of speech signals. Simulation results show that the neural networks leads to better performance than the well known linear predictor coefficients (LPC) that uses Levinson-Durbin algorithm.
  • Keywords
    Kalman filters; learning (artificial intelligence); neural nets; prediction theory; speech processing; extended Kalman filter; learning algorithm; neural network architecture; speech signal prediction; Artificial neural networks; Computer architecture; Computer networks; Equations; Laboratories; Machine intelligence; Neural networks; Neurons; Predictive models; Speech;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems for Communications, 2008. ECCSC 2008. 4th European Conference on
  • Conference_Location
    Bucharest
  • Print_ISBN
    978-1-4244-2419-1
  • Electronic_ISBN
    978-1-4244-2420-7
  • Type

    conf

  • DOI
    10.1109/ECCSC.2008.4611645
  • Filename
    4611645
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2730107