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Two eye-movement experiments with one hundred and seven first- through fifth-grade children were conducted to examine the effects of visuomotor and linguistic factors on the recognition of words and pseudowords presented in central vision (using a variable-viewing-position technique) and in parafoveal vision (shifted to the left or right of a central(More)
Concerned with pathological voice assessment, this paper aims at characterizing dysphonia in the frequency domain for a better understanding of relating phenomena while most of the studies have focused only on improving classification systems for diagnosis help purposes. In this context, a GMM-based automatic classification system is applied on different(More)
INTRODUCTION In this study, we proposed and tested the effectiveness of a training procedure on perceptual evaluation of dysphonia. Participants were naive listeners who learned to judge the severity of vocal disorders. MATERIALS AND METHODS The corpus consisted of 142 female voices ranging from normal to severely dysphonic voices. A total of 38 naive(More)
This paper investigates the adaptation of Automatic Speaker Recognition (ASR) techniques to the pathological voice assessment (dysphonic voices). The aim of this study is to provide a novel method, suitable for keeping track of the evolution of the patient's pathology: easy-to-use, fast, non-invasive for the patient, and affordable for the clinicians. This(More)
Improvement of gait disorders following pedunculopontine nucleus area stimulation in patients with Parkinson's disease has previously been reported and led us to propose this surgical treatment to patients who progressively developed severe gait disorders and freezing despite optimal dopaminergic drug treatment and subthalamic nucleus stimulation. The(More)
This paper presents the rationale, objectives and advances of an ongoing project (the DesPho-APaDy project funded by the French National Agency of Research) which aims to provide a systematic and quantified description of French dysarthric speech, over a large population of patients and three dysarthria types (related to the parkinson's disease, the(More)
The articulatory phonology study requires the simultaneous recording of the speech wave and as many articulatory parameters as possible. To this end, for many years,we have developed the integrated PHONART workstation for speech production analysis with the technologies available at the time. It consisted of a PC-compatible computer-driven workstation(More)
This work presents an automatic analysis of Parkinsonian speech prosody in read and spontaneous tasks. We first evaluate the reliability of existing algorithms for the automatic analysis of speech prosody and show that these tools are efficient for the analysis of Parkinsonian speech if a large amount of data is processed. We then investigate the prosodic(More)