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Évaluation de la parole dysarthrique : Apport du traitement automatique de la parole face à l’expertise humaine

Abstract : Dysarthria is a speech disorder resulting from neurological impairments of the speechmotor control. It can be caused by different pathologies (Parkinson’s disease, AmyotrophicLateral Sclerosis - ALS, etc.) and affects different levels of speech production (respiratory,laryngeal and supra-laryngeal). The majority of research work dedicated tothe study of dysarthric speech relies on perceptual analyses. The most known study, byF. L. Darley in 1969, led to the organization and the classification of dysarthria within 6classes (completed with 2 additional classes in 2005).Nowadays, perceptual evaluation is still the most used method in clinical practicefor the diagnosis and the therapeutic monitoring of patients. However, this method isknown to be subjective, non reproductive and time-consuming. These limitations makeit inadequate for the evaluation of large corpora (in case of phonetic studies) or forthe follow-up of the progression of the condition of dysarthric patients. In order toovercome these limitations, professionals have been expressing their need of objectivemethods for the evaluation of disordered speech and automatic speech processing hasbeen early seen as a potential solution.The work presented in this document falls within this framework and studies thecontributions that these tools can have in the evaluation of dysarthric, and more generallypathological speech.In this work, an automatic approach for the detection of abnormal phones in dysarthricspeech is proposed and its behavior is analyzed on different speech corpora containingdifferent pathologies, dysarthric classes, dysarthria severity levels and speechstyles (read and spontaneous speech). Unlike the majority of the automatic methodsproposed in the literature that provide a global evaluation of the speech on generalitems such as dysarthria severity, intelligibility, etc., our proposed method focuses onthe phone level aiming to achieve a better characterization of dysarthria effects and toprovide a precise and useful feedback to the potential users (clinicians, phoneticians,patients). This method consists on two essential phases : (1) an automatic phone alignmentof the speech (2) an automatic classification of the resulting phones in two classes :normal and abnormal phones.When compared to an annotation of phone anomalies provided by a human expertconsidered to be the ”gold standard“, the approach showed encouraging results andproved to be able to detect anomalies on the phone level. The approach was also able to capture the evolution of the severity of the dysarthria suggesting a potential relevanceand use in the longitudinal follow-up of dysarthric patients or for the automatic predictionof their intelligibility or the severity of their dysarthria.Also, the automatic phone alignment precision was found to be dependent on the severity,the pathology, the class of the dysarthria and the phonetic category of each phone.Furthermore, the speech style was found to have an interesting effect on the behaviorsof both automatic phone alignment and anomaly detection.Finally, the results of an evaluation campaign conducted by a jury of experts on theannotations provided by the proposed approach are presented and discussed in orderto draw a panel of the strengths and limitations of the system.
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Submitted on : Thursday, January 25, 2018 - 3:47:11 PM
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Imed Laaridh. Évaluation de la parole dysarthrique : Apport du traitement automatique de la parole face à l’expertise humaine. Environnements Informatiques pour l'Apprentissage Humain. Université d'Avignon, 2017. Français. ⟨NNT : 2017AVIG0218⟩. ⟨tel-01692934⟩

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