• DocumentCode
    881632
  • Title

    Adaptive speech coding with DCT and neutral net vector quantisation

  • Author

    Veleva, L.V. ; Kunchev, R.K.

  • Author_Institution
    Tech. Univ. of Sofia, Bulgaria
  • Volume
    29
  • Issue
    8
  • fYear
    1993
  • fDate
    4/15/1993 12:00:00 AM
  • Firstpage
    704
  • Lastpage
    705
  • Abstract
    A hybrid method for speech coding is presented based on the discrete cosine transform (DCT) and neural net vector quantisation (NNVQ). The neural networks are trained off-line using a two stage learning algorithm. During the encoding process, neural net adaptation is carried out. Simulation results show a high compression factor and SNR.
  • Keywords
    adaptive systems; decoding; discrete cosine transforms; learning (artificial intelligence); neural nets; speech coding; vector quantisation; DCT; discrete cosine transform; encoding; hybrid method; neural net adaptation; two stage learning algorithm; vector quantisation;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19930471
  • Filename
    209964
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=881632