Thomas HUEBER
Chargé de Recherche CNRS
Equipe Cognitive Robotics, Interactive Systems, & Speech Processing
Département Parole et Cognition
ME CONTACTER / CONTACT ME
Mail : thomas.hueber@gipsa-lab.grenoble-inp.fr

Domaine Universitaire
BP 46
38402 Saint Martin d'Hères cedex

Bureau B367
Tél.33 (0)4 76 57 49 40
Fax : 33 (0)4 76 57 47 10
PUBLICATIONS RECENTES / RECENT PUBLICATIONS
Les derniéres publications de la collection Gipsa dans HAL

Rehabilitation of speech disorders following glossectomy based on ultrasound visual feedback

Marion Girod-Roux, Thomas Hueber, Diandra Fabre, Silvain Gerber, Mélanie Canault, et al.. Rehabilitation of speech disorders following glossectomy based on ultrasound visual feedback. 2019. 〈hal-01977670〉

Visual Recognition of Continuous Cued Speech Using a Tandem CNN-HMM Approach

Li Liu, Thomas Hueber, Gang Feng, Denis Beautemps. Visual Recognition of Continuous Cued Speech Using a Tandem CNN-HMM Approach. 19th Annual Conference of the International Speech Communication Association (Interspeech 2018), Sep 2018, hyderabad, India. 〈hal-01978344〉

Electrophysiological evidence for Audio-visuo-lingual speech integration

Avril Treille, Coriandre Vilain, Jean-Luc Schwartz, Thomas Hueber, Marc Sato. Electrophysiological evidence for Audio-visuo-lingual speech integration. Neuropsychologia, Elsevier, 2018, 109, pp.126-133. 〈hal-02074993〉

Electrophysiological evidence for Audio-visuo-lingual speech integration

Avril Treille, Coriandre Vilain, Jean-Luc Schwartz, Thomas Hueber, Marc Sato. Electrophysiological evidence for Audio-visuo-lingual speech integration. Neuropsychologia, Elsevier, 2018, 109, pp.126 - 133. 〈10.1016/j.neuropsychologia.2017.12.024〉. 〈hal-01799947〉

Introduction to the Special Issue on Biosignal-Based Spoken Communication

Tanja Schultz, Thomas Hueber, Dean J. Krusienski, Jonathan S. Brumberg. Introduction to the Special Issue on Biosignal-Based Spoken Communication. IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2017, 25 (12), pp.2254 - 2256. ⟨10.1109/TASLP.2017.2768838⟩. ⟨hal-01652752⟩

Biosignal-Based Spoken Communication: A Survey

Tanja Schultz, Thomas Hueber, Michael Wand, Dean J. Krusienski, Christian Herff, et al.. Biosignal-Based Spoken Communication: A Survey. IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2017, 25 (12), pp.2257 - 2271. ⟨10.1109/TASLP.2017.2752365⟩. ⟨hal-01652757⟩

Speech recovery and language plasticity can be facilitated by Sensori-Motor Fusion (SMF) training in chronic non-fluent aphasia. A case report study

Célise Haldin, Audrey Acher, Louise Kauffmann, Thomas Hueber, Emilie Cousin, et al.. Speech recovery and language plasticity can be facilitated by Sensori-Motor Fusion (SMF) training in chronic non-fluent aphasia. A case report study. Clinical Linguistics & Phonetics, Taylor & Francis, 2017, pp.1 - 27. 〈10.1080/02699206.2017.1402090〉. 〈hal-01651198〉

Automatic animation of an articulatory tongue model from ultrasound images of the vocal tract

Diandra Fabre, Thomas Hueber, Laurent Girin, Xavier Alameda-Pineda, Pierre Badin. Automatic animation of an articulatory tongue model from ultrasound images of the vocal tract. Speech Communication, Elsevier : North-Holland, 2017, 93, pp.63 - 75. ⟨10.1016/j.specom.2017.08.002⟩. ⟨hal-01578315⟩

Feature extraction using multimodal convolutional neural networks for visual speech recogntiion

Eric Tatulli, Thomas Hueber. Feature extraction using multimodal convolutional neural networks for visual speech recogntiion. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), Mar 2017, New Orleans, United States. ICASSP 2017 - Proceedings, pp.2971-2975. 〈hal-01485539〉

Extending the Cascaded Gaussian Mixture Regression Framework for Cross-Speaker Acoustic-Articulatory Mapping

Laurent Girin, Thomas Hueber, Xavier Alameda-Pineda. Extending the Cascaded Gaussian Mixture Regression Framework for Cross-Speaker Acoustic-Articulatory Mapping. IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2017, 25 (3), pp.662-673. ⟨10.1109/TASLP.2017.2651398⟩. ⟨hal-01485540⟩

ENCADREMENT DE THESES / PhD THESIS SUPERVISED

Grenoble Images Parole Signal Automatique laboratoire

UMR 5216 CNRS - Grenoble INP - Université Joseph Fourier - Université Stendhal