• DocumentCode
    3008558
  • Title

    Speaker independent isolated Arabic word recognition system

  • Author

    Elghonemy, M. ; Fikri, M. ; Hashish, M. ; Talkhan, E.

  • Author_Institution
    Cairo University
  • Volume
    11
  • fYear
    1986
  • fDate
    31503
  • Firstpage
    697
  • Lastpage
    700
  • Abstract
    A speaker independent isolated Arabic word recognition system has been successfully implemented and tested. End-point detection and voiced/unvoiced segmentation algorithms are based on energy and zero-crossing rate (ZCR) using adaptive ZCR threshold. Formants are extracted using ZCI histograms obtained from filtered speech signal [1]. The speaker independent recognition rate is about 96% for ten Arabic words.
  • Keywords
    Acoustic noise; Hardware; Histograms; Indium tin oxide; Natural languages; Resonance; Speech recognition; System testing; Vocabulary; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1986.1169197
  • Filename
    1169197