A Novel Approach to Identify Factor Posing Pronunciation Disorders

  • Naim TerbehEmail author
  • Mounir Zrigui
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9875)


Literature seems rich with approaches which are based on the features contained in the speech signal and natural language processing techniques to detect vocal pathologies in human speeches. From the literature, we can mention also that several factors (vocal pathology, non-native speaker, psychological state, age …) can pose pronunciation disorders [10]. But to our knowledge, no work has treated pathological speech to identify factor posing pronunciation disorders. The current work consists in introducing an original approach based on the forced alignment score [8] to identify the factor posing mispronunciations contained in the Arabic speech. We distinguish two main factors: the pronunciation disorders can be from native speakers with vocal pathology or from non-native speakers who do not master Arabic-phoneme pronunciation. The results are encouraging; we attain an identification rate of 95 %. Biologists and computer scientists can benefit from our proposed approach to design high performance systems of vocal pathology diagnostic.


Pronunciation disorders Forced alignment score Vocal pathology Non-native speakers 



We would like to benefit from this opportunity to express my deepest regards to all members of the evaluation research committee in the ICCCI scientific conference. We would like also to extend our advance thanks to Mr. Mounir ZRIGUI for his valuable advices and encouragement.


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.LaTICE Laboratory-Monastir UnitMonastirTunisia

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