A Robust Algorithm for Pathological-Speech Correction

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

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.

Keywords

Arabic language Healthy/pathological speech Probabilistic-phonetic modeling Vocal pathology Speech correction 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.LaTICE Laboratory, Faculty of Sciences of MonastirMonastirTunisia

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