Olivier Mathieu

Grenoble Images Parole Signal Automatique, département Parole & Cognition

Session JEP orale O2   Pathologies   Mardi 10 Juin - 16h30 18h30

• papier 1670 Adaptation de la production labiale d'un participant sourd et classification : le cas des voyelles en contexte du code LPC


• Noureddine Aboutabit  ( Grenoble Images Parole Signal Automatique, département Parole & Cognition)
• Denis Beautemps  ( Grenoble Images Parole Signal Automatique, département Parole & Cognition)
• Olivier Mathieu  ( Grenoble Images Parole Signal Automatique, département Parole & Cognition)
• Laurent Besacier  ( Laboratoire d'Informatique de Grenoble)
• Résumé : The phonetic translation of Cued Speech (CS) gestures needs to mix the manual CS information together with the lips, taking into account the desynchronization delay (Attina et al. [2], Aboutabit et al. [7]) between these two flows of information. This contribution focuses on the lip flow modeling in the case of French vowels. Previously, classification models have been developed for a professional normal hearing CS speaker (Aboutabit et al., [7]). These models are used as a reference. Now, we process the case of a deaf CS speaker and discuss the possibilities of classification. The best performance (92,8%) is obtained with the adaptation of the deaf data to the reference models.
• article



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