Abstract
This study aims at providing audio-based interaction technology that lets the users have full control over their home environment, at detecting distress situations and at easing the social inclusion of the elderly and frail population. The paper presents the sound and speech analysis system evaluated thanks to a corpus of data acquired in a real smart home environment. The 4 steps of analysis are signal detection, speech/sound discrimination, sound classification and speech recognition. The results are presented for each step and globally. The very first experiments show promising results be it for the modules evaluated independently or for the whole system.
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CITATION STYLE
Sehili, M. A., Lecouteux, B., Vacher, M., Portet, F., Istrate, D., Dorizzi, B., & Boudy, J. (2012). Sound environment analysis in smart home. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7683 LNCS, pp. 208–223). Springer Verlag. https://doi.org/10.1007/978-3-642-34898-3_14
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