Probabilistic Approach to Arabic Speech Correction for Peoples with Language Disabilities

Naim Terbeh, Mohamed Achraf Ben Mohamed and Mounir Zrigui
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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

International Journal of Information Retrieval Research (IJIRR), 2015, vol. 5, issue 4, 1-18

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.

Date: 2015
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