Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Jérôme Urbain"'
Autor:
Bouke C. de Jong, Badou M. Gaye, Jeroen Luyten, Bart van Buitenen, Emmanuel André, Conor J. Meehan, Cian O’Siochain, Kristyna Tomsu, Jérôme Urbain, Koen Peeters Grietens, Maureen Njue, Wim Pinxten, Florian Gehre, Ousman Nyan, Anne Buvé, Anna Roca, Raffaella Ravinetto, Martin Antonio
Publikováno v:
Emerging Infectious Diseases, Vol 25, Iss 7, Pp - (2019)
Traditional public health methods for detecting infectious disease transmission, such as contact tracing and molecular epidemiology, are time-consuming and costly. Information and communication technologies, such as global positioning systems, smartp
Externí odkaz:
https://doaj.org/article/f2ac36225f104d809c4009c0cc4a7484
Autor:
Aurelie Charlier, Thierry Dutoit, Maxime Denti, Jérôme Urbain, Stéphane Dupont, Huseyin Cakmak
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 8:273-284
This paper presents the adaptation of HMM-based speech synthesis to laughter signals. Acoustic laughter synthesis HMMs are built with only 3 minutes of laughter data. An evaluation experiment shows that the method achieves significantly better perfor
Autor:
Thierry Dutoit, Thomas Drugman, Patrick Lebecque, Nathalie Bauwens, Ricardo Chessini, Carlos Valderrama, Jérôme Urbain
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 17:699-707
The development of a system for the automatic, objective, and reliable detection of cough events is a need underlined by the medical literature for years. The benefit of such a tool is clear as it would allow the assessment of pathology severity in c
Autor:
Johannes Wagner, Radoslaw Niewiadomski, Jérôme Urbain, Alexis Moinet, Catherine Pelachaud, Benjamin Picart, Thierry Dutoit, Elisabetta Bevacqua, Joëlle Tilmanne
Publikováno v:
Journal on Multimodal User Interfaces. 4:47-58
The AVLaughterCycle project aims at developing an audiovisual laughing machine, able to detect and respond to user’s laughs. Laughter is an important cue to reinforce the engagement in human-computer interactions. As a first step toward this goal,
Publikováno v:
Journal of Sleep Research. 18:85-98
The aim of this study was to investigate two new scoring algorithms employing artificial neural networks and decision trees for distinguishing sleep and wake states in infants using actigraphy and to validate and compare the performance of the propos
Autor:
Jennifer Hofmann, Olivier Pietquin, Thierry Dutoit, Gary McKeown, Huseyin Cakmak, Willibald Ruch, Stéphane Dupont, William Curran, Jérôme Urbain, Tracey Platt
Publikováno v:
Toward Robotic Socially Believable Behaving Systems-Volume I ISBN: 9783319310558
Toward Robotic Socially Believable Behaving Systems (I)
Toward Robotic Socially Believable Behaving Systems (I)
Laughter is everywhere. So much so that we often do not even notice it. First, laughter has a strong connection with humour. Most of us seek out laughter and people who make us laugh, and it is what we do when we gather together as groups relaxing an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ff6a1823cde627270ab341fdc30648c
https://doi.org/10.1007/978-3-319-31056-5_9
https://doi.org/10.1007/978-3-319-31056-5_9
Publikováno v:
ICASSP
In this paper we propose synchronization rules between acoustic and visual laughter synthesis systems. This work follows up our previous studies on acoustics laughter synthesis and visual laughter synthesis. The need of synchronization rules comes fr
Publikováno v:
ICASSP
This paper presents an HMM-based synthesis approach for speechlaughs. The building stone of this project was the idea of the co-occurrence of smile and laughter bursts in varying proportions within amused speech utterances. A corpus with three comple
We investigated the role of a virtual companion and trait cheerfulness on the elicitation of amusement. Ninety participants watched funny films in four conditions: either alone, with a virtual companion laughing or verbally expressing amusement at fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34cae57b6248e0b7965d031c3f7c966b
https://link.springer.com/article/10.1007/s11031-014-9461-y
https://link.springer.com/article/10.1007/s11031-014-9461-y
Publikováno v:
ICASSP
This paper presents an experimental comparison of various leading vocoders for the application of HMM-based laughter synthesis. Four vocoders, commonly used in HMM-based speech synthesis, are used in copy-synthesis and HMM-based synthesis of both mal