Context-Aware Voice-based Interaction in Smart Home -VocADom@A4H Corpus Collection and Empirical Assessment of its Usefulness

François Portet 1 Sybille Caffiau 2 Fabien Ringeval 1 Michel Vacher 1 Nicolas Bonnefond 3 Solange Rossato 1 Benjamin Lecouteux 1 Thierry Desot 1
2 LIG Laboratoire d'Informatique de Grenoble - IIHM
LIG - Laboratoire d'Informatique de Grenoble, Inria - Institut National de Recherche en Informatique et en Automatique
3 PERVASIVE - Interaction située avec les objets et environnements intelligents
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology, UGA - Université Grenoble Alpes
Abstract : Smart homes aim at enhancing the quality of life of people at home by the use of home automation systems and Ambient Intelligence. Most of these smart homes provide enhanced interaction by relying on context-aware systems learned on data. Whereas voice-based interaction is the current emerging trend, most available corpora are either concerned only with home automation sensors or only with audio technology, which limits the development of context-aware voice-based systems. This paper presents the VocADom@A4H corpus, which is a dataset composed of users' interactions recorded in a fully equipped Smart Home. About 12 hours of multichannel distant speech signal synchronized with logs of an openHAB home automation system were collected from 11 participants who performed activities of daily living with the presence of real-life noises, such as other persons speaking, use of vacuum cleaner, TV, etc. This corpus can serve as a valuable material for studies in pervasive intelligence, such as human tracking, human activity recognition, context aware interaction, and robust distant speech processing in the home. Experiments performed on multichannel speech and home automation sensors data for robust voice activity detection and multiresident localization show the potential of the corpus to support the development of context-aware smart home systems.
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François Portet, Sybille Caffiau, Fabien Ringeval, Michel Vacher, Nicolas Bonnefond, et al.. Context-Aware Voice-based Interaction in Smart Home -VocADom@A4H Corpus Collection and Empirical Assessment of its Usefulness. 2019 IEEE Intl Conf on Pervasive Intelligence and Computing, Aug 2019, Fukuoka, Japan. pp.811--818, ⟨10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00149⟩. ⟨hal-02165532⟩

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