Reconnaissance automatique de la parole de personnes âgées pour les services d'assistance à domicile

Abstract : In the context of the aging population, the aim of this thesis is to include in the living environment of the elderly people an automatic speech recognition (ASR) system, which can recognize calls to alert the emergency services. The acoustic models of ASR systems are mostly learned with non-elderly speech, delivered in a neutral way, and read. However, in our context, we are far from these ideal conditions (aging and expressive voice). So, our system must be adapted to the task. For our work, we recorded corpora made of elderly voices and distress calls. From these corpora, a study on the differences between young and old voices, and between neutral and emotional voice permit to develop an ASR system adapted to the task. This system was then evaluated on data recorded during an experiment in realistic situation, including falls played by volunteers.
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Frédéric Aman. Reconnaissance automatique de la parole de personnes âgées pour les services d'assistance à domicile. Traitement du signal et de l'image. Université de Grenoble, 2014. Français. ⟨NNT : 2014GRENM095⟩. ⟨tel-01347155⟩

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