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@inproceedings{aron:inria-00429330,
author = {Aron, Michael and Berger, Marie-Odile and Kerrien, Erwan},
title = {{Evaluation of the uncertainty of multimodal articulatory data}},
booktitle = {{Ultrafest V}},
year = {2010},
pages = {2 p},
address = {New Heaven, {\'E}tats-Unis},
month = mar,
organization = {Doug Whalen, Khalil Iskarous, Aude Noiray},
abstract = {{Our purpose is to present the last improvements brought to our acquisition
system of multimodal articulatory data and reports on a complete
evaluation of the uncertainty attached to the data it provides.}},
affiliation = {MAGRIT - INRIA Lorraine - LORIA},
audience = {internationale },
hal_id = {inria-00429330},
url = {http://hal.inria.fr/inria-00429330}
}
@inproceedings{aron:inria-00326290,
author = {Aron, Michael and Berger, Marie-Odile and Kerrien, Erwan},
title = {{Multimodal fusion of electromagnetic, ultrasound and MRI data for
building an articulatory model}},
booktitle = {{8th International Seminar On Speech Production - ISSP'08}},
year = {2008},
pages = {4 p},
address = {Strasbourg, France},
abstract = {{Data fusion from multiple sensors is of significant interest to the
speech research community, as it can potentially provide a better
picture of speech production through the use of complementary sensor
modalities. This paper deals with the practical aspects of this problem,
such as acquisition and processing of the dynamic US and EM data
of the tongue during speech production, static MRI images of the
vocal tract using repetitions, and registration of the data from
these different sources to a common reference frame. To the best
of our knowledge, this is the first work that demonstrates the potential
of static and dynamic data fusion in the construction of articulatory
databases.}},
affiliation = {MAGRIT - INRIA Lorraine - LORIA},
audience = {internationale },
file = {aron\\_issp2008.pdf:http\://hal.inria.fr/inria-00326290/PDF/aron\\_issp2008.pdf:PDF},
hal_id = {inria-00326290},
url = {http://hal.inria.fr/inria-00326290}
}
@incollection{aron:inria-00429585,
author = {Aron, Michael and Berger, Marie-Odile and Kerrien, Erwan and Laprie,
Yves},
title = {{Acquisition multimodale de donn{\'e}es articulatoires}},
booktitle = {{L'imagerie m{\'e}dicale pour l'{\'e}tude de la parole}},
publisher = {Hermes Science Publications},
year = {2009},
editor = {Alain Marchal et Christian Cav{\'e} },
series = {Trait{\'e} Cognition et Traitement de l'Information, IC2 },
pages = {175-196},
month = nov,
abstract = {{Ce chapitre d{\'e}crit le syst{\`e}me d'acquisition multimodale de
donn{\'e}es articulatoires {\'e}labor{\'e} dans le cadre du projet
europ{\'e}en ASPI. Ce syst{\`e}me int{\`e}gre un {\'e}chographe pour
obtenir les contours de la langue, un dispositif de localisation
{\'e}lectromagn{\'e}tique pour localiser la sonde et l'apex de langue
et des cam{\'e}ras de str{\'e}ovision pour suivre les marqueurs peints
sur le visage. Comme les concepteurs du syst{\`e}me Hocus, nous avons
choisi de ne pas imposer de contention au locuteur. Ce chapitre d{\'e}crit
la configuration du syt{\`e}me et les proc{\'e}dures de synchronisation
et de calibrage qui permettent de fusionner les informations sur
les articulateurs disponibles dans les images et les mesures electromagn{\'e}tiques.
Diverses applications de ce syt{\`e}me sont propos{\'e}es, notamment
l'{\'e}tude de la variabilit{\'e} des articulateurs durant la phonation
de sons tenus.}},
affiliation = {MAGRIT - INRIA Lorraine - LORIA , PAROLE - INRIA Lorraine - LORIA},
hal_id = {inria-00429585},
isbn = {978-2-7462-2235-9 },
url = {http://hal.inria.fr/inria-00429585}
}
@inproceedings{aron:inria-00165869,
author = {Aron, Michael and Ferveur, Nicolas and Kerrien, Erwan and Berger,
Marie-Odile and Laprie, Yves},
title = {{Acquisition and synchronization of multimodal articulatory data}},
booktitle = {{8th Annual Conference of the International Speech Communication
Association - Interspeech'07}},
year = {2007},
pages = {1398-1401},
address = {Antwerpen, Belgique},
abstract = {{This paper describes a setup to synchronize data used to track speech
articulators during speech production. Our method couples together
an ultrasound, an electromagnetic and an audio system to record speech
sequences. The coupling requires a precise temporal synchronization,
to know exactly the delay between the recording start of each modality,
and to know the sampling rate of each modality. A complete setup
and methods for automatically synchronizing data are described. The
aim is to get a fast, low-cost and easily reproducible acquisition
system in order to temporally align data.}},
affiliation = {MAGRIT - INRIA Lorraine - LORIA , PAROLE - INRIA Lorraine - LORIA},
audience = {internationale },
file = {aron.pdf:http\://hal.inria.fr/inria-00165869/PDF/aron.pdf:PDF},
hal_id = {inria-00165869},
keywords = {articulatory data, speech production, ultrasound, electromagnetic
sensors, temporal synchronization},
url = {http://hal.inria.fr/inria-00165869}
}
@inproceedings{aron:inria-00142462,
author = {Aron, Michael and Kerrien, Erwan and Berger, Marie-Odile and Laprie,
Yves},
title = {{Fusion de capteurs {\'e}lectromagn{\'e}tiques et d'{\'e}chographies
pour le suivi de la langue}},
booktitle = {{Onzi{\`e}me congr{\`e}s francophone des jeunes chercheurs en vision
par ordinateur - ORASIS'07}},
year = {2007},
address = {Obernai, France},
month = jun,
abstract = {{Cet article pr{\'e}sente une m{\'e}thode pour la fusion d'images
{\'e}chographiques avec des donn{\'e}es 3D de capteurs {\'e}lectromagn{\'e}tiques,
afin de permettre un suivi complet de la langue durant la production
de la parole. Les donn{\'e}es {\'e}lectromagn{\'e}tiques sont superpos{\'e}es
aux {\'e}chographies apr{\`e}s un calibrage spatial et un recalage
temporel. Apr{\`e}s une courte {\'e}tude pr{\'e}alable sur la validit{\'e}
d'acquisition des donn{\'e}es {\'e}lectromagn{\'e}tiques, des r{\'e}sultats
de cette fusion dans des conditions exp{\'e}rimentales sont pr{\'e}sent{\'e}s
sur plusieurs sons.}},
affiliation = {MAGRIT - INRIA Lorraine - LORIA , PAROLE - INRIA Lorraine - LORIA},
audience = {nationale },
file = {orasis.pdf:http\://hal.inria.fr/inria-00142462/PDF/orasis.pdf:PDF},
hal_id = {inria-00142462},
keywords = {Fusion ; electromagnetic sensors ; ultrasound images ; tongue tracking},
url = {http://hal.inria.fr/inria-00142462}
}
@inproceedings{aron:inria-00316041,
author = {Aron, Michael and Roussos, Anastasios and Berger, Marie-Odile and
Kerrien, Erwan and Maragos, Petros},
title = {{Multimodality Acquisition of Articulatory Data and Processing}},
booktitle = {{16th European Signal Processing Conference - EUSIPCO 2008}},
year = {2008},
address = {Lausanne, Suisse},
organization = {EPFL},
abstract = {{In this paper, a framework to acquire and process dynamic data of
the tongue during speech processing is presented. First, a setup
to acquire data of the tongue shape combining ultrasound images,
electromagnetic localization sensors and sound is presented. Techniques
to automatically calibrate and synchronize the data are described.
A method to extract the tongue shape is then proposed, by combining
a preprocessing of the ultrasound images with an imagebased tracking
method that integrates adapted constraints.}},
affiliation = {MAGRIT - INRIA Lorraine - LORIA , Computer Vision, Speech Communication
and Signal Processing Group},
audience = {internationale },
file = {1569104643.pdf:http\://hal.inria.fr/inria-00316041/PDF/1569104643.pdf:PDF},
hal_id = {inria-00316041},
url = {http://hal.inria.fr/inria-00316041}
}
@inproceedings{aron:inria-00350298,
author = {Aron, Michael and Toutios, Asterios and Berger, Marie-Odile and Kerrien,
Erwan and Wrobel-Dautcourt, Brigitte and Laprie, Yves},
title = {{Registration of Multimodal Data for Estimating the Parameters of
an Articulatory Model}},
booktitle = {{IEEE International Conference on Acoustics, Speech, and Signal Processing
- ICASSP 2009}},
year = {2009},
pages = {4489 - 4492},
address = {Taipei, Ta{\"\i}wan, Province De Chine},
publisher = {IEEE},
abstract = {{Being able to animate a speech production model with articulatory
data would open applications in many domains. In this paper, we first
consider the problem of acquiring articulatory data from non invasive
image and sensor modalities: dynamic ultrasound images, stereovision
3D data, electromagnetic sensors and MRI. We here especially focus
on automatic registration methods which enable the fusion of the
articulatory features in a common frame. We then derive articulatory
parameters by fitting these features with Maeda's model. To our knowledge,
it is the first attempt to derive articulatory parameters from features
automatically extracted and registered between the modalities. Results
prove the soundness of the approach and the reliability of the fused
articulatory data.}},
affiliation = {MAGRIT - INRIA Lorraine - LORIA , PAROLE - INRIA Lorraine - LORIA},
audience = {internationale },
doi = {10.1109/ICASSP.2009.4960627 },
file = {icasspAron2009.pdf:http\://hal.inria.fr/inria-00350298/PDF/icasspAron2009.pdf:PDF},
hal_id = {inria-00350298},
keywords = {multimodal registration ; speech analysis},
url = {http://hal.inria.fr/inria-00350298}
}
@inproceedings{ARON:2007:INRIA-00165869:1,
author = {{A}ron, {M}ichael and {F}erveur, {N}icolas and {K}errien, {E}rwan
and {B}erger, {M}arie-{O}dile and {L}aprie, {Y}ves},
title = {{A}cquisition and synchronization of multimodal articulatory data},
booktitle = {8th {A}nnual {C}onference of the {I}nternational {S}peech {C}ommunication
{A}ssociation - {I}nterspeech'07 },
year = {2007},
pages = {1398-1401 },
address = {{A}ntwerpen {B}elgium },
abstract = {{T}his paper describes a setup to synchronize data used to track speech
articulators during speech production. {O}ur method couples together
an ultrasound, an electromagnetic and an audio system to record speech
sequences. {T}he coupling requires a precise temporal synchronization,
to know exactly the delay between the recording start of each modality,
and to know the sampling rate of each modality. {A} complete setup
and methods for automatically synchronizing data are described. {T}he
aim is to get a fast, low-cost and easily reproducible acquisition
system in order to temporally align data.},
affiliation = {{MAGRIT} - {INRIA} {L}orraine - {LORIA} - {CNRS} : {UMR}7503 - {INRIA}
- {U}niversit{\'e} {H}enri {P}oincar{\'e} - {N}ancy {I} - {U}niversit{\'e}
{N}ancy {II} - {I}nstitut {N}ational {P}olytechnique de {L}orraine
- {PAROLE} - {INRIA} {L}orraine - {LORIA} - {INRIA} - {CNRS} : {UMR}7503
- {U}niversit{\'e} {H}enri {P}oincar{\'e} - {N}ancy {I} - {U}niversit{\'e}
{N}ancy {II} - {I}nstitut {N}ational {P}olytechnique de {L}orraine
},
keywords = {articulatory data, speech production, ultrasound, electromagnetic
sensors, temporal synchronization},
url = {http://hal.inria.fr/inria-00165869/en/}
}
@inproceedings{ARON:2006:INRIA-00110634:1,
author = {{A}ron, {M}ichael and {K}errien, {E}rwan and {B}erger, {M}arie-{O}dile
and {L}aprie, {Y}ves},
title = {{C}oupling electromagnetic sensors and ultrasound images for tongue
tracking: acquisition setup and preliminary results},
booktitle = {7th {I}nternational {S}eminar on {S}peech {P}roduction - {ISSP}'06},
year = {2006},
pages = {8 p},
address = {{U}batuba {B}razil },
month = {12},
abstract = {{T}his paper describes a new method for coupling ultrasound images
with tree-dimensional electromagnetic data, to recover larger parts
of the tongue during speech production. {T}he electromagnetic data
is superimposed on ultrasound images after spatial and temporal calibration.
{S}uccessful fusion results are presented on various speech sequences.
{A} complete setup for evaluation of the electromagnetic system is
further presented.},
affiliation = {{MAGRIT} - {INRIA} {L}orraine - {LORIA} - {CNRS} : {UMR}7503 - {INRIA}
- {U}niversit{\'e} {H}enri {P}oincar{\'e} - {N}ancy {I} - {U}niversit{\'e}
{N}ancy {II} - {I}nstitut {N}ational {P}olytechnique de {L}orraine
- {PAROLE} - {INRIA} {L}orraine - {LORIA} - {INRIA} - {CNRS} : {UMR}7503
- {U}niversit{\'e} {H}enri {P}oincar{\'e} - {N}ancy {I} - {U}niversit{\'e}
{N}ancy {II} - {I}nstitut {N}ational {P}olytechnique de {L}orraine
},
url = {http://hal.inria.fr/inria-00110634/en/}
}
@inproceedings{villard2014,
author = {Villard, P. and Escamilla, P. and Kerrien, E. and Gorges, S. and
Trousset, Y. and Berger, M.-O.},
title = {Preliminary Study of Rib Articulated Model based on Dynamic Fluoroscopy
Images},
booktitle = {SPIE Medical Imaging},
year = {2014},
owner = {berger},
quality = {1},
timestamp = {2014.01.07}
}
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1 ExplicitGroup:workflow\;0\;PADOY:2007:INRIA-00177010:1\;padoy:inria-
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1 ExplicitGroup:laparoscopie\;0\;haouchine:hal-00768362\;haouchine:hal
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}}
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