The VocADom Project: Speech Interaction for Well-being and Reliance Improvement

Michel Vacher 1 Emmanuel Vincent 2 Marc-Eric Bobillier Chaumon 3 Thierry Joubert 4 François Portet 1 Dominique Fohr 2 Sybille Caffiau 5 Thierry Desot 1
2 MULTISPEECH - Speech Modeling for Facilitating Oral-Based Communication
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
5 LIG Laboratoire d'Informatique de Grenoble - IIHM
LIG - Laboratoire d'Informatique de Grenoble, Inria - Institut National de Recherche en Informatique et en Automatique
Abstract : The additional fee must be paid to ACM. This text field is large enough to hold the appropriate release statement assuming it is single spaced. Every submission will be assigned their own unique DOI string to be included here. Abstract The VocADom project aims to provide audio-based interaction technology that lets the users have full control over their home environment and at eases the social inclusion of the elderly and frail population. This paper presents an overview of the project focusing on multimodal corpus acquisition and labelling and on investigated techniques for speech enhancement and understanding.
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Submitted on : Tuesday, September 11, 2018 - 4:48:21 PM
Last modification on : Wednesday, April 3, 2019 - 1:08:54 AM
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  • HAL Id : hal-01830217, version 2

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Michel Vacher, Emmanuel Vincent, Marc-Eric Bobillier Chaumon, Thierry Joubert, François Portet, et al.. The VocADom Project: Speech Interaction for Well-being and Reliance Improvement. MobileHCI 2018 - 20th International Conference on Human-Computer Interaction with Mobile Devices and Services, Sep 2018, Barcelona, Spain. ⟨hal-01830217v2⟩

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