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Flix de Chaumont Quitry
Flix de Chaumont Quitry
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Citata da
Citata da
Anno
Acoustic modelling with cd-ctc-smbr lstm rnns
A Senior, H Sak, F de Chaumont Quitry, T Sainath, K Rao
2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU…, 2015
1512015
Towards learning a universal non-semantic representation of speech
J Shor, A Jansen, R Maor, O Lang, O Tuval, FC Quitry, M Tagliasacchi, ...
arXiv preprint arXiv:2002.12764, 2020
1132020
LEAF: A learnable frontend for audio classification
N Zeghidour, O Teboul, FC Quitry, M Tagliasacchi
arXiv preprint arXiv:2101.08596, 2021
1092021
Pre-training audio representations with self-supervision
M Tagliasacchi, B Gfeller, F de Chaumont Quitry, D Roblek
IEEE Signal Processing Letters 27, 600-604, 2020
462020
Self-supervised audio representation learning for mobile devices
M Tagliasacchi, B Gfeller, FC Quitry, D Roblek
arXiv preprint arXiv:1905.11796, 2019
422019
AudioPaLM: A Large Language Model That Can Speak and Listen
PK Rubenstein, C Asawaroengchai, DD Nguyen, A Bapna, Z Borsos, ...
arXiv preprint arXiv:2306.12925, 2023
152023
High quality agreement-based semi-supervised training data for acoustic modeling
F de Chaumont Quitry, A Oines, P Moreno, E Weinstein
2016 IEEE Spoken Language Technology Workshop (SLT), 592-596, 2016
72016
Disentangling speech from surroundings with neural embeddings
A Omran, N Zeghidour, Z Borsos, FC Quitry, M Slaney, M Tagliasacchi
arXiv preprint arXiv:2203.15578, 2022
62022
Learning audio representations via phase prediction
FC Quitry, M Tagliasacchi, D Roblek
arXiv preprint arXiv:1910.11910, 2019
62019
Learning audio representations via phase prediction
F de Chaumont Quitry, M Tagliasacchi, D Roblek
arXiv e-prints, arXiv: 1910.11910, 2019
52019
Methods and Systems for Implementing On-Device Non-Semantic Representation Fine-Tuning for Speech Classification
J Shor, R Maor, O Lang, O Tuval, M Tagliasacchi, I Shavitt, ...
US Patent App. 17/000,583, 2022
42022
CycleGAN-Based Unpaired Speech Dereverberation
H Muckenhirn, A Safin, H Erdogan, FC Quitry, M Tagliasacchi, S Wisdom, ...
arXiv preprint arXiv:2203.15652, 2022
12022
Disentangling speech from surroundings with neural embeddings
A Omran, N Zeghidour, Z Borsos, F de Chaumont Quitry, M Slaney, ...
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and…, 2023
2023
Self-Supervised Audio Representation Learning for Mobile Devices
B Gfeller, D Roblek, F de Chaumont Quitry, M Tagliasacchi
US Patent App. 17/986,477, 2023
2023
Generating audio waveforms using encoder and decoder neural networks
Y Li, M Tagliasacchi, D Roblek, F de Chaumont Quitry, B Gfeller, ...
US Patent App. 17/856,292, 2023
2023
Multi-task adapter neural networks
M Tagliasacchi, F de Chaumont Quitry, D Roblek
US Patent App. 17/764,005, 2022
2022
Self-supervised audio representation learning for mobile devices
B Gfeller, D Roblek, F de Chaumont Quitry, M Tagliasacchi
US Patent 11,501,787, 2022
2022
Multi-Task Adapters for On-Device Audio Inference
M Tagliasacchi, F de Chaumont Quitry, D Roblek
IEEE Signal Processing Letters 27, 630-634, 2020
2020
Multi-Task Adapters for On-Device Audio Inference
D Roblek, F de Chaumont Quitry, M Tagliasacchi
2020
Learning audio representations with self-supervision
M Tagliasacchi, B Gfeller, F de Chaumont Quitry, D Roblek
2019
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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