The Sweet-Home speech and multimodal corpus for home automation interaction
International audience Ambient Assisted Living aims at enhancing the quality of life of older and disabled people at home thanks to Smart Homes and Home Automation. However, many studies do not include tests in real settings, because data collection in this domain is very expensive and challenging a...
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ftunigrenoble:oai:HAL:hal-00953006v1 2024-05-12T08:05:54+00:00 The Sweet-Home speech and multimodal corpus for home automation interaction Vacher, Michel Lecouteux, Benjamin Chahuara, Pedro Portet, François Meillon, Brigitte Bonnefond, Nicolas Groupe d’Étude en Traduction Automatique/Traitement Automatisé des Langues et de la Parole (GETALP) Laboratoire d'Informatique de Grenoble (LIG) Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS) Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS) ANR-09-VERS-0011,SWEET-HOME,Système Domotique d'Assistance au Domicile(2009) Reykjavik, Iceland 2014-05-26 https://hal.science/hal-00953006 https://hal.science/hal-00953006/document https://hal.science/hal-00953006/file/2014_LREC_Vacher_final.pdf en eng HAL CCSD hal-00953006 https://hal.science/hal-00953006 https://hal.science/hal-00953006/document https://hal.science/hal-00953006/file/2014_LREC_Vacher_final.pdf info:eu-repo/semantics/OpenAccess LREC 2014 The 9th edition of the Language Resources and Evaluation Conference (LREC) https://hal.science/hal-00953006 The 9th edition of the Language Resources and Evaluation Conference (LREC), May 2014, Reykjavik, Iceland. pp.4499-4506 multimodal data acquisition natural language and multimodal interactions voice-actived home automation Ambient Assisted Living [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH] [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] info:eu-repo/semantics/conferenceObject Conference papers 2014 ftunigrenoble 2024-04-18T02:09:02Z International audience Ambient Assisted Living aims at enhancing the quality of life of older and disabled people at home thanks to Smart Homes and Home Automation. However, many studies do not include tests in real settings, because data collection in this domain is very expensive and challenging and because of the few available data sets. The SWEET-H OME multimodal corpus is a dataset recorded in realistic conditions in D OMUS, a fully equipped Smart Home with microphones and home automation sensors, in which participants performed Activities of Daily living (ADL). This corpus is made of a multimodal subset, a French home automation speech subset recorded in Distant Speech conditions, and two interaction subsets, the first one being recorded by 16 persons without disabilities and the second one by 6 seniors and 5 visually impaired people. This corpus was used in studies related to ADL recognition, context aware interaction and distant speech recognition applied to home automation controled through voice. Conference Object Iceland Université Grenoble Alpes: HAL |
institution |
Open Polar |
collection |
Université Grenoble Alpes: HAL |
op_collection_id |
ftunigrenoble |
language |
English |
topic |
multimodal data acquisition natural language and multimodal interactions voice-actived home automation Ambient Assisted Living [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH] [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] |
spellingShingle |
multimodal data acquisition natural language and multimodal interactions voice-actived home automation Ambient Assisted Living [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH] [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] Vacher, Michel Lecouteux, Benjamin Chahuara, Pedro Portet, François Meillon, Brigitte Bonnefond, Nicolas The Sweet-Home speech and multimodal corpus for home automation interaction |
topic_facet |
multimodal data acquisition natural language and multimodal interactions voice-actived home automation Ambient Assisted Living [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH] [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] |
description |
International audience Ambient Assisted Living aims at enhancing the quality of life of older and disabled people at home thanks to Smart Homes and Home Automation. However, many studies do not include tests in real settings, because data collection in this domain is very expensive and challenging and because of the few available data sets. The SWEET-H OME multimodal corpus is a dataset recorded in realistic conditions in D OMUS, a fully equipped Smart Home with microphones and home automation sensors, in which participants performed Activities of Daily living (ADL). This corpus is made of a multimodal subset, a French home automation speech subset recorded in Distant Speech conditions, and two interaction subsets, the first one being recorded by 16 persons without disabilities and the second one by 6 seniors and 5 visually impaired people. This corpus was used in studies related to ADL recognition, context aware interaction and distant speech recognition applied to home automation controled through voice. |
author2 |
Groupe d’Étude en Traduction Automatique/Traitement Automatisé des Langues et de la Parole (GETALP) Laboratoire d'Informatique de Grenoble (LIG) Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS) Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS) ANR-09-VERS-0011,SWEET-HOME,Système Domotique d'Assistance au Domicile(2009) |
format |
Conference Object |
author |
Vacher, Michel Lecouteux, Benjamin Chahuara, Pedro Portet, François Meillon, Brigitte Bonnefond, Nicolas |
author_facet |
Vacher, Michel Lecouteux, Benjamin Chahuara, Pedro Portet, François Meillon, Brigitte Bonnefond, Nicolas |
author_sort |
Vacher, Michel |
title |
The Sweet-Home speech and multimodal corpus for home automation interaction |
title_short |
The Sweet-Home speech and multimodal corpus for home automation interaction |
title_full |
The Sweet-Home speech and multimodal corpus for home automation interaction |
title_fullStr |
The Sweet-Home speech and multimodal corpus for home automation interaction |
title_full_unstemmed |
The Sweet-Home speech and multimodal corpus for home automation interaction |
title_sort |
sweet-home speech and multimodal corpus for home automation interaction |
publisher |
HAL CCSD |
publishDate |
2014 |
url |
https://hal.science/hal-00953006 https://hal.science/hal-00953006/document https://hal.science/hal-00953006/file/2014_LREC_Vacher_final.pdf |
op_coverage |
Reykjavik, Iceland |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
LREC 2014 The 9th edition of the Language Resources and Evaluation Conference (LREC) https://hal.science/hal-00953006 The 9th edition of the Language Resources and Evaluation Conference (LREC), May 2014, Reykjavik, Iceland. pp.4499-4506 |
op_relation |
hal-00953006 https://hal.science/hal-00953006 https://hal.science/hal-00953006/document https://hal.science/hal-00953006/file/2014_LREC_Vacher_final.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1798848284698083328 |