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A Robust Algorithm for Pathological-Speech Correction

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Computational Linguistics (PACLING 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 781))

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Abstract

The current work presents an original approach based on the probabilistic-phonetic modeling to develop an algorithm permitting the correction of pathological Arabic speech. For this purpose, we follow three steps. The first consists in detecting the voice defects manifesting in the Arabic speech. Second, the sounds begetting degraded speeches are identified. The last task consists in proposing an original algorithm based on probabilistic-phonetic modeling to correct the pathological pronunciations. The developed algorithm is highly efficient. Indeed, we have attained a correction performance of 97%. Accordingly, researchers in computer sciences, in speech therapy and in biology can support in our contribution to the pathological speeches processing.

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Author information

Authors and Affiliations

  1. LaTICE Laboratory, Faculty of Sciences of Monastir, 5000, Monastir, Tunisia

    Naim Terbeh & Mounir Zrigui

Authors
  1. Naim Terbeh
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  2. Mounir Zrigui
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Corresponding author

Correspondence to Naim Terbeh .

Editor information

Editors and Affiliations

  1. Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan

    Kôiti Hasida

  2. Natural Language Processing Lab, University of Computer Studies, Yangon, Yangon, Myanmar

    Win Pa Pa

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Terbeh, N., Zrigui, M. (2018). A Robust Algorithm for Pathological-Speech Correction. In: Hasida, K., Pa, W. (eds) Computational Linguistics. PACLING 2017. Communications in Computer and Information Science, vol 781. Springer, Singapore. https://doi.org/10.1007/978-981-10-8438-6_27

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  • DOI: https://doi.org/10.1007/978-981-10-8438-6_27

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8437-9

  • Online ISBN: 978-981-10-8438-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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