Sound environment analysis in smart home

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.
Document type :
Conference papers
Liste complète des métadonnées

Cited literature [28 references]  Display  Hide  Download
Contributor : Médiathèque Télécom Sudparis & Institut Mines-Télécom Business School <>
Submitted on : Friday, February 28, 2014 - 12:11:40 PM
Last modification on : Monday, February 11, 2019 - 4:36:02 PM
Document(s) archivé(s) le : Wednesday, May 28, 2014 - 10:35:33 AM


Files produced by the author(s)



Mohamed El Amine Sehili, Benjamin Lecouteux, Michel Vacher, François Portet, Dan Istrate, et al.. Sound environment analysis in smart home. AmI '12 : International Joint Conference on Ambient Intelligence, Nov 2012, Pisa, Italy. pp.208-223, ⟨10.1007/978-3-642-34898-3_14⟩. ⟨hal-00840918⟩



Record views


Files downloads