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Probabilistic Approach to Arabic Speech Correction for Peoples with Language Disabilities

Author

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  • Naim Terbeh

    (Faculty of Economic Sciences and Management, University of Sfax, Sfax, Tunisia)

  • Mohamed Achraf Ben Mohamed

    (Faculty of Economic Sciences and Management, University of Sfax, Sfax, Tunisia)

  • Mounir Zrigui

    (Faculty of Sciences, University of Monastir, Monastir, Tunisia)

Abstract

This work consists in achieving an automatic speech correction system for continuous Arabic speech with large vocabulary in mono-speaker mode. Two vectors to be generated: the first is an Arabic speech standard (probability of occurrence of each Arabic bi-phoneme), the second gives a probabilistic representation of the speech sequence to be corrected. Using these two vectors, phonemes that pose pronunciation problems to speakers and their replacements can be identified. The rest is a game of substitutions and belonging tests to an Arabic lexicon. For that, an acoustic model for Arabic speech and a lexicon of 4 million distinct words have been built. Results of the work were encouraging and present a reference for other works for people with language disabilities. A correction rate of 97% is reached.

Suggested Citation

  • Naim Terbeh & Mohamed Achraf Ben Mohamed & Mounir Zrigui, 2015. "Probabilistic Approach to Arabic Speech Correction for Peoples with Language Disabilities," International Journal of Information Retrieval Research (IJIRR), IGI Global, vol. 5(4), pages 1-18, October.
    • Handle: RePEc:igg:jirr00:v:5:y:2015:i:4:p:1-18
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