• DocumentCode
    2161392
  • Title

    Speech Enhancement Based on Double RBF Networks

  • Author

    Guo, Jichang ; Guo, CLibin

  • Volume
    5
  • fYear
    2008
  • fDate
    27-30 May 2008
  • Firstpage
    357
  • Lastpage
    360
  • Abstract
    In this paper, a non-linear spectral estimation for noise reduction is present which is approximated and implemented by double Radial Basis Function (RBF) networks. The simulation results indicate that the method can greatly improve the quality and the intelligibility of speech, and have other advantages such as the widely applicable Signal-to-Noise Ratio (SNR) range, less computation load. Particularly the method may maintain the preferable accurate of signal in speech waveform, and the quality of speech signals have been improved obviously.
  • Keywords
    Electronic mail; Flowcharts; Frequency; Linear predictive coding; Neural networks; Noise reduction; Radial basis function networks; Signal processing; Signal to noise ratio; Speech enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2008. CISP '08. Congress on
  • Conference_Location
    Sanya, China
  • Print_ISBN
    978-0-7695-3119-9
  • Type

    conf

  • DOI
    10.1109/CISP.2008.732
  • Filename
    4566849