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Thomas Thebaud
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Virtual objects look farther on the sides: The anisotropy of distance perception in virtual reality
E Peillard, T Thebaud, JM Normand, F Argelaguet, G Moreau, A Lécuyer
2019 ieee conference on virtual reality and 3d user interfaces (vr), 227-236, 2019
282019
On the invertibility of a voice privacy system using embedding alignment
P Champion, T Thebaud, G Le Lan, A Larcher, D Jouvet
2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021
52021
Spoofing speaker verification with voice style transfer and reconstruction loss
T Thebaud, G Le Lan, A Larcher
2021 IEEE International Workshop on Information Forensics and Security (WIFS …, 2021
32021
Unsupervised labelling of stolen handwritten digit embeddings with density matching
T Thebaud, G Le Lan, A Larcher
International Conference on Applied Cryptography and Network Security, 545-563, 2020
32020
Handwritten digits reconstruction from unlabelled embeddings
T Thebaud, G Le Lan, A Larcher
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
22021
JHU IWSLT 2023 Dialect Speech Translation System Description
A Hussein, C Xiao, N Verma, T Thebaud, M Wiesner, S Khudanpur
Proceedings of the 20th International Conference on Spoken Language …, 2023
12023
DuTa-VC: A Duration-aware Typical-to-atypical Voice Conversion Approach with Diffusion Probabilistic Model
H Wang, T Thebaud, J Villalba, M Sydnor, B Lammers, N Dehak, ...
arXiv preprint arXiv:2306.10588, 2023
12023
Self-FiLM: Conditioning GANs with self-supervised representations for bandwidth extension based speaker recognition
S Kataria, J Villalba, L Moro-Velázquez, T Thebaud, N Dehak
arXiv preprint arXiv:2303.03657, 2023
12023
Segmental SpeechCLIP: Utilizing Pretrained Image-text Models for Audio-Visual Learning
S Bhati, J Villalba, L Moro-Velazquez, T Thebaud, N Dehak
1
Leveraging Pretrained Image-text Models for Improving Audio-Visual Learning
S Bhati, J Villalba, L Moro-Velazquez, T Thebaud, N Dehak
arXiv preprint arXiv:2309.04628, 2023
2023
Interpretable Speech Features vs. DNN Embeddings: What to Use in the Automatic Assessment of Parkinson′ s Disease in Multi-lingual Scenarios
A Favaro, YT Tsai, A Butala, T Thebaud, J Villalba, N Dehak, ...
medRxiv, 2023.05. 29.23290697, 2023
2023
Attaques par reconstruction de données biométriques comportementales à l’aide d’alignements d’embeddings
T Thebaud
Le Mans Université, 2022
2022
Multi-lingual Speech to Speech Translation for Under-Resourced Languages
A Larcher, Y Estève, M Rouvier, N Tomashenko, J Duret, G Laperriere, ...
Le Mans Université, 2022
2022
Actes de la conférence CAID 2020
F de Vieilleville, S May, A Lagrange, A Dupuis, R Ruiloba, ...
2021
Do Phonatory Features Display Robustness to Characterize Parkinsonian Speech Across Corpora?
A Favaro, T Cao, T Thebaud, J Villalba, A Butala, N Dehak, ...
Étiquetage non supervisé de représentations de chiffres manuscrits volées
A Larcher
Actes de la conférence CAID 2020, 128, 0
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