Development of Automatic Speech Recognition Techniques for Elderly Home Support: Applications and Challenges

Abstract : Vocal command may have considerable advantages in terms of usability in the AAL domain. However, efficient audio analysis in smart home environment is a challenging task in large part because of bad speech recognition results in the case of elderly people. Dedicated speech corpora were recorded and employed to adapted generic speech recog-nizers to this type of population. Evaluation results of a first experiment allowed to draw conclusions about the distress call detection. A second experiments involved participants who played fall scenarios in a realistic smart home, 67% of the distress calls were detected online. These results show the difficulty of the task and serve as basis to discuss the stakes and the challenges of this promising technology for AAL.
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Michel Vacher, Frédéric Aman, Solange Rossato, François Portet. Development of Automatic Speech Recognition Techniques for Elderly Home Support: Applications and Challenges. Human Aspects of IT for the Aged Population. Design for the Everyday Life. First International Conference, ITAP 2015, Held as Part of the 17th International Conference on Human-Computer Interaction (HCII), Aug 2015, Los Angeles, CA, United States. pp.341-353, ⟨10.1007/978-3-319-20913-5⟩. ⟨hal-01179246⟩

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