Rehabilitation of speech disorders following glossectomy, based on ultrasound visual illustration and feedback

Marion Girod-Roux, Thomas Hueber, Diandra Fabre, Silvain Gerber, Mélanie Canault, et al.. Rehabilitation of speech disorders following glossectomy, based on ultrasound visual illustration and feedback. Clinical Linguistics & Phonetics, Taylor & Francis, 2020, pp.1-18. ⟨ 10.1080/02699206.2019.1700310 ⟩. ⟨ hal-01977670 ⟩

Notes on the use of variational autoencoders for speech and audio spectrogram modeling

Laurent Girin, Fanny Roche, Thomas Hueber, Simon Leglaive. Notes on the use of variational autoencoders for speech and audio spectrogram modeling. DAFx 2019 - 22nd International Conference on Digital Audio Effects, Sep 2019, Birmingham, United Kingdom. pp.1-8. ⟨ hal-02349385 ⟩

Autoencoders for music sound modeling : a comparison of linear, shallow, deep, recurrent and variational models

Fanny Roche, Thomas Hueber, Samuel Limier, Laurent Girin. Autoencoders for music sound modeling : a comparison of linear, shallow, deep, recurrent and variational models. SMC 2019 - 16th Sound & Music Computing Conference, May 2019, Malaga, Spain. ⟨ hal-02349406 ⟩

Effet de la rééducation perceptivo-motrice sur la récupération de la parole chez deux patientes avec aphasie non fluente chronique post-AVCEffect of perceptual-motor rehabilitation on speech recovery in two patients with chronic post-stroke aphasia

Célise Haldin, Audrey Acher, Louise Kauffmann, Thomas Hueber, Emilie Cousin, et al.. Effet de la rééducation perceptivo-motrice sur la récupération de la parole chez deux patientes avec aphasie non fluente chronique post-AVC. Revue de neuropsychologie, neurosciences cognitives et cliniques, Montrouge : John Libbey Eurotext, 2019, 11 (1), pp.44-59. ⟨ 10.1684/nrp.2019.0485 ⟩. ⟨ hal-02134778 ⟩

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. ⟨ 10.1016/j.neuropsychologia.2017.12.024 ⟩. ⟨ hal-02074993 ⟩

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, 32 (7), 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 ⟩