Thomas Hueber

2.3k total citations
53 papers, 1.4k citations indexed

About

Thomas Hueber is a scholar working on Signal Processing, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Thomas Hueber has authored 53 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Signal Processing, 28 papers in Artificial Intelligence and 11 papers in Cognitive Neuroscience. Recurrent topics in Thomas Hueber's work include Speech and Audio Processing (27 papers), Speech Recognition and Synthesis (21 papers) and Music and Audio Processing (19 papers). Thomas Hueber is often cited by papers focused on Speech and Audio Processing (27 papers), Speech Recognition and Synthesis (21 papers) and Music and Audio Processing (19 papers). Thomas Hueber collaborates with scholars based in France, United States and Germany. Thomas Hueber's co-authors include Tanja Schultz, Jonathan S. Brumberg, B. Denby, Bruce Denby, Laurent Girin, Maureen Stone, Gérard Chollet, Kiyoshi Honda, James M. Gilbert and Gérard Dreyfus and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neuropsychologia and Journal of Cognitive Neuroscience.

In The Last Decade

Thomas Hueber

49 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Hueber France 17 794 697 346 232 180 53 1.4k
Athanasios Katsamanis Greece 20 667 0.8× 661 0.9× 153 0.4× 653 2.8× 99 0.6× 68 1.5k
Giovanni Costantini Italy 20 378 0.5× 370 0.5× 110 0.3× 250 1.1× 38 0.2× 115 1.0k
Laurent Girin France 25 1.0k 1.3× 377 0.5× 256 0.7× 106 0.5× 29 0.2× 80 1.4k
Gan Huang China 22 126 0.2× 178 0.3× 924 2.7× 222 1.0× 110 0.6× 100 1.5k
M. Ramasubba Reddy India 16 251 0.3× 152 0.2× 572 1.7× 78 0.3× 96 0.5× 105 1.1k
Mohamed A. Bencherif Saudi Arabia 19 324 0.4× 397 0.6× 611 1.8× 60 0.3× 383 2.1× 32 1.4k
Abhay Upadhyay India 15 327 0.4× 121 0.2× 578 1.7× 100 0.4× 66 0.4× 51 1.1k
Carlos A. Reyes-García Mexico 17 323 0.4× 320 0.5× 258 0.7× 71 0.3× 41 0.2× 52 885
Uğur Halıcı Türkiye 15 269 0.3× 250 0.4× 672 1.9× 54 0.2× 134 0.7× 69 1.4k
Mahboobeh Jafari Australia 16 116 0.1× 249 0.4× 625 1.8× 116 0.5× 29 0.2× 23 1.2k

Countries citing papers authored by Thomas Hueber

Since Specialization
Citations

This map shows the geographic impact of Thomas Hueber's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thomas Hueber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Hueber more than expected).

Fields of papers citing papers by Thomas Hueber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Hueber. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thomas Hueber. The network helps show where Thomas Hueber may publish in the future.

Co-authorship network of co-authors of Thomas Hueber

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Hueber. A scholar is included among the top collaborators of Thomas Hueber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Hueber. Thomas Hueber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Girin, Laurent, et al.. (2025). Is self-supervised learning enough to fill in the gap? A study on speech inpainting. Computer Speech & Language. 99. 101922–101922.
2.
3.
Lavechin, Marvin, et al.. (2024). Decode, Move and Speak! Self-supervised Learning of Speech Units, Gestures, and Sound Relationships Using Vocal Imitation. Computational Linguistics. 1–29. 2 indexed citations
4.
Girin, Laurent, et al.. (2021). Learning robust speech representation with an articulatory-regularized\n variational autoencoder. arXiv (Cornell University). 1 indexed citations
5.
Girin, Laurent, Simon Leglaive, Xiaoyu Bie, et al.. (2021). Dynamical Variational Autoencoders: A Comprehensive Review. arXiv (Cornell University). 15(1-2). 1–175. 96 indexed citations
6.
Vilain, Coriandre, et al.. (2017). Electrophysiological evidence for Audio-visuo-lingual speech integration. Neuropsychologia. 109. 126–133. 7 indexed citations
7.
Kauffmann, Louise, Thomas Hueber, Émilie Cousin, et al.. (2017). Speech recovery and language plasticity can be facilitated by Sensori-Motor Fusion training in chronic non-fluent aphasia. A case report study. Clinical Linguistics & Phonetics. 32(7). 595–621. 11 indexed citations
8.
Hueber, Thomas, et al.. (2016). Real-Time Control of an Articulatory-Based Speech Synthesizer for Brain Computer Interfaces. PLoS Computational Biology. 12(11). e1005119–e1005119. 52 indexed citations
9.
Baciu, Monica, Louise Kauffmann, Émilie Cousin, et al.. (2016). Effect of visual feedback on speech recovery and language plasticity in patients with post-stroke non-fluent aphasia. Functional MRI assessment. Annals of Physical and Rehabilitation Medicine. 59. e75–e76. 5 indexed citations
10.
Hueber, Thomas, et al.. (2016). Key considerations in designing a speech brain-computer interface. Journal of Physiology-Paris. 110(4). 392–401. 48 indexed citations
11.
Hueber, Thomas & Gérard Bailly. (2015). Statistical conversion of silent articulation into audible speech using full-covariance HMM. Computer Speech & Language. 36. 274–293. 38 indexed citations
12.
Hueber, Thomas, et al.. (2014). Robust articulatory speech synthesis using deep neural networks for BCI applications. 2288–2292. 15 indexed citations
13.
Hueber, Thomas. (2013). Ultraspeech-player: Intuitive visualization of ultrasound articulatory data for speech therapy and pronunciation training. Conference of the International Speech Communication Association. 752–753. 6 indexed citations
14.
15.
Hueber, Thomas, Gérard Bailly, & Bruce Denby. (2012). Continuous articulatory-to-acoustic mapping using phone-based trajectory HMM for a silent speech interface. 723–726. 17 indexed citations
16.
Denby, Bruce, Jun Cai, Pierre Roussel, et al.. (2011). Tests of an Interactive, Phrasebook-style Post-laryngectomy Voice-replacement System.. HAL (Le Centre pour la Communication Scientifique Directe). 572–575. 8 indexed citations
17.
Crevier‐Buchman, Lise, Bruce Denby, Thomas Hueber, et al.. (2010). Silent vs vocalized articulation for a portable ultrasound-based silent speech interface. HAL (Le Centre pour la Communication Scientifique Directe). 450–453. 18 indexed citations
18.
Hueber, Thomas, et al.. (2009). Development of a silent speech interface driven by ultrasound and optical images of the tongue and lips. Speech Communication. 52(4). 288–300. 132 indexed citations
19.
Hueber, Thomas, Gérard Chollet, Bruce Denby, & Maureen Stone. (2008). Acquisition of Ultrasound, Video and Acoustic Speech Data for a Silent-Speech Interface Application. 51 indexed citations
20.
Beller, Grégory, Thomas Hueber, Diemo Schwarz, & Xavier Rodet. (2006). Speech rates in French expressive speech. paper 124–0. 12 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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