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In the scope of digitized speech signals with severe pathologies, as the esophageal voices are, it is impossible the objective assessment of the voice based on a set of parameters accepted by the scientific community like pitch, jitter, shimmer or HNR. This impossibility is due to healthy voices or with slight pathologies can be only evaluated with commercial applications. However, this paper presents...
Given the importance of the voice in our daily lives, any study focused on its pathologies and the way of detecting and treating them nimbly is of common interest. This research work focuses on the search for an image processing solution to help otolaryngologist to detect glottal closure instant by using Kalman filters based on stroboscopic videos. This solution will allow to prevent the irregularities...
This paper presents the work carried out on the modelling of vocal folds and the extraction of objective parameters which help the specialist to express a diagnosis based on something more robust than the observation of medical images. This study is specifically focused on measuring the glottal closure and opening angles in diverse pathologies. Therefore, different image signal processing techniques...
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