Michel Vacher

Date: Wednesday, 15th March 2017 at 2pm
Place: LORIA, room A008
Speaker: Michel Vacher (CNRS – LIG)

Title: Automatic recognition of atypical speech in smart homes: application to AAL

Abstract: About one third of the French population will be over 65 by the year 2050. Due to the lack of space in dedicated institutions for the elderly, home care services are a major concern and would benefit from technological assistance to relieve the work of the caregivers. This is the goal pursued by intelligent housing, which consists in providing houses equipped with computer technology to assist their inhabitants in the various situations of domestic life as well as in terms of comfort and security. Automatic Speech Recognition (ASR) could be an essential input in critical or abnormal situations, that is, when a surveillance system is most useful.

An ASR system adapted to this use must be adapted to the vocal characteristics of these persons. This implies meeting two requirements: on the one hand recognizing the voices of elderly and even aged persons and on the other hand recognizing calls for help made by a person in distress.

After introducing the context of intelligent housing and our methodology, we will present our studies on automatic recognition concerning aged voice and expressive voice in this context. Given the lack of available data, we recorded suitable corpora in both cases. After highlighting the decline in performance introduced using a generic system, we will show some solutions using MLLR type adaptation.

Finally, experiments on voice command for home automation in intelligent houses involving potential users will highlight the challenges that still need to be addressed in order to allow the use of this technology by individuals living alone at home.