| Silent speech interfaces B Denby, T Schultz, K Honda, T Hueber, JM Gilbert, JS Brumberg Speech Communication 52 (4), 270-287, 2010 | 626 | 2010 |
| Dynamical Variational Autoencoders: A Comprehensive Review L Girin, S Leglaive, X Bie, J Diard, T Hueber, X Alameda-Pineda Foundations and Trends in Machine Learning 15 (1-2), 1-175, 2020 | 251 | 2020 |
| Development of a silent speech interface driven by ultrasound and optical images of the tongue and lips T Hueber, EL Benaroya, G Chollet, B Denby, G Dreyfus, M Stone Speech Communication 52 (4), 288-300, 2010 | 240 | 2010 |
| Biosignal-based spoken communication: A survey T Schultz, M Wand, T Hueber, DJ Krusienski, C Herff, JS Brumberg IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (12 …, 2017 | 203 | 2017 |
| Eigentongue feature extraction for an ultrasound-based silent speech interface T Hueber, G Aversano, G Chollet, B Denby, G Dreyfus, Y Oussar, ... 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 139 | 2007 |
| Acquisition of ultrasound, video and acoustic speech data for a silent-speech interface application T Hueber, G Chollet, B Denby, M Stone Proc. of ISSP, 365-369, 2008 | 97 | 2008 |
| Real-Time Control of an Articulatory-Based Speech Synthesizer for Brain Computer Interfaces F Bocquelet, T Hueber, L Girin, C Savariaux, B Yvert PLOS Computational Biology 12 (11), e1005119, 2016 | 92 | 2016 |
| Feature extraction using multimodal convolutional neural networks for visual speech recognition E Tatulli, T Hueber 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 80 | 2017 |
| Key considerations in designing a speech brain-computer interface F Bocquelet, T Hueber, L Girin, S Chabardès, B Yvert Journal of Physiology-Paris 110 (4), 392-401, 2016 | 74 | 2016 |
| Statistical conversion of silent articulation into audible speech using full-covariance HMM T Hueber, G Bailly Computer Speech & Language 36, 274-293, 2016 | 62 | 2016 |
| Statistical Mapping between Articulatory and Acoustic Data for an Ultrasound-based Silent Speech Interface T Hueber, EL Benaroya, B Denby, G Chollet Interspeech, 2011 | 53 | 2011 |
| Visual articulatory feedback for phonetic correction in second language learning P Badin, AB Youssef, G Bailly, F Elisei, T Hueber L2SW, Workshop on" Second Language Studies: Acquisition, Learning, Education …, 2010 | 51 | 2010 |
| Automatic animation of an articulatory tongue model from ultrasound images of the vocal tract D Fabre, T Hueber, L Girin, X Alameda-Pineda, P Badin Speech Communication 93, 63-75, 2017 | 46 | 2017 |
| Autoencoders for music sound modeling: a comparison of linear, shallow, deep, recurrent and variational models F Roche, T Hueber, S Limier, L Girin SMC, Malaga, 2018 | 45 | 2018 |
| Speech rates in french expressive speech G Beller, T Hueber, D Schwarz, X Rodet Speech Prosody 2006, 2006 | 39 | 2006 |
| Tongue Tracking in Ultrasound Images Using EigenTongue Decomposition and Artificial Neural Networks D Fabre, T Hueber, F Bocquelet, P Badin Sixteenth Annual Conference of the International Speech Communication …, 2015 | 38 | 2015 |
| Continuous Articulatory-to-Acoustic Mapping using Phone-based Trajectory HMM for a Silent Speech Interface T Hueber, G Bailly, B Denby Interspeech, 2012 | 37 | 2012 |
| Silent vs vocalized articulation for a portable ultrasound-based silent speech interface VM Florescu, L Crevier-Buchman, B Denby, T Hueber, A Colazo-Simon, ... Proceedings of Interspeech 2010, Makuhari Japan, 450-453, 2010 | 36 | 2010 |
| Phone recognition from ultrasound and optical video sequences for a silent speech interface. T Hueber, G Chollet, B Denby, G Dreyfus, M Stone Interspeech, 2032-2035, 2008 | 36 | 2008 |
| Continuous-speech phone recognition from ultrasound and optical images of the tongue and lips. T Hueber, G Chollet, B Denby, G Dreyfus, M Stone INTERSPEECH, 658-661, 2007 | 34 | 2007 |
Bruce DenbySorbonne UniversitéVerified email at ieee.org
