Title: Automatic speech classification in school children with cleft (and lip) palate

Authors: Khaled Baazi; Mhania Guerti

Addresses: Department of Electronics, Signal and Communications Laboratory, National Polytechnic School (ENP), Algiers, 16200, Algeria; Scientific and Technical Research Centre for the Development of the Arabic Language (CRSTDLA), BP 225 Rostomia Algiers, 16011, Algeria ' Department of Electronics, Signal and Communications Laboratory, National Polytechnic School (ENP), Algiers, 16200, Algeria

Abstract: The automatic detection of emphatic occlusive [ṭ] in pathological speech (PS) in schoolchildren with cleft lip and palate can provide diagnostic information to clinicians and speech therapists. We propose an automatic classification system for PS by the decision tree method (DT) to use it in rehabilitation in Algerian hospitals. Acoustic analysis was applied in order to extract the relevant acoustic characteristics of this type of PS. The results showed that the DT adapts well to the classification of the PS with a significant rate ratio (%) of the PS, for the case of the long vowels 87% and 85% for short vowels.

Keywords: cleft palates; pathological speech; decision tree; classification; school children.

DOI: 10.1504/IJMEI.2023.133088

International Journal of Medical Engineering and Informatics, 2023 Vol.15 No.5, pp.484 - 499

Received: 01 Mar 2021
Accepted: 05 Jun 2021
Published online: 01 Sep 2023 *

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