• DocumentCode
    2706747
  • Title

    Arabic Speech Recognition System Based on CMUSphinx

  • Author

    Satori, H. ; Harti, M. ; Chenfour, N.

  • Author_Institution
    UFR Inf. et Nouvelles Technol. d´´Inf. et de Commun., Fes
  • fYear
    2007
  • fDate
    28-30 March 2007
  • Firstpage
    31
  • Lastpage
    35
  • Abstract
    In this paper we present the creation of an Arabic version of Automated Speech Recognition System (ASR). This system is based on the open source Sphinx-4, from the Carnegie Mellon University. Which is a speech recognition system based on discrete hidden Markov models (HMMs). We investigate the changes that must be made to the model to adapt Arabic voice recognition.
  • Keywords
    hidden Markov models; speech recognition; Arabic speech recognition system; Automated Speech Recognition System; CMUSphinx; discrete hidden Markov models; open source Sphinx-4; Application software; Automatic speech recognition; Computational intelligence; Computer languages; Hidden Markov models; Java; Packaging; Robustness; Speech recognition; Sun; Acoustic model; Arabic language; Artificial intelligence; CMUSphinx-4; HMMs; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Intelligent Informatics, 2007. ISCIII '07. International Symposium on
  • Conference_Location
    Agadir
  • Print_ISBN
    1-4244-1158-0
  • Electronic_ISBN
    1-4244-1158-0
  • Type

    conf

  • DOI
    10.1109/ISCIII.2007.367358
  • Filename
    4218391
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2706747