Yossi Adi
Citée par
Citée par
Fine-grained analysis of sentence embeddings using auxiliary prediction tasks
Y Adi, E Kermany, Y Belinkov, O Lavi, Y Goldberg
International Conference on Learning Representations (ICLR), 2017
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring
Y Adi, C Baum, M Cisse, B Pinkas, J Keshet
27th {USENIX} Security Symposium ({USENIX} Security 18), 1615--1631, 2018
Houdini: Fooling deep structured prediction models
M Cisse, Y Adi, N Neverova, J Keshet
Advances in Neural Information Processing Systems, 2017, 2017
Real time speech enhancement in the waveform domain
A Defossez, G Synnaeve, Y Adi
arXiv preprint arXiv:2006.12847, 2020
Fooling End-to-end Speaker Verification by Adversarial Examples
F Kreuk, Y Adi, M Cisse, J Keshet
IEEE International Conference in Acoustic, Speech and Signal Processing (ICASSP), 2018
Voice separation with an unknown number of multiple speakers
E Nachmani, Y Adi, L Wolf
International Conference on Machine Learning, 7164-7175, 2020
On generative spoken language modeling from raw audio
K Lakhotia, E Kharitonov, WN Hsu, Y Adi, A Polyak, B Bolte, TA Nguyen, ...
Transactions of the Association for Computational Linguistics 9, 1336-1354, 2021
Speech resynthesis from discrete disentangled self-supervised representations
A Polyak, Y Adi, J Copet, E Kharitonov, K Lakhotia, WN Hsu, A Mohamed, ...
arXiv preprint arXiv:2104.00355, 2021
Out-of-distribution detection using multiple semantic label representations
G Shalev, Y Adi, J Keshet
Advances in Neural Information Processing Systems 31, 2018
Direct speech-to-speech translation with discrete units
A Lee, PJ Chen, C Wang, J Gu, S Popuri, X Ma, A Polyak, Y Adi, Q He, ...
arXiv preprint arXiv:2107.05604, 2021
Self-supervised contrastive learning for unsupervised phoneme segmentation
F Kreuk, J Keshet, Y Adi
arXiv preprint arXiv:2007.13465, 2020
Minimal Modifications of Deep Neural Networks using Verification.
B Goldberger, G Katz, Y Adi, J Keshet
LPAR 2020, 23rd, 2020
Text-free prosody-aware generative spoken language modeling
E Kharitonov, A Lee, A Polyak, Y Adi, J Copet, K Lakhotia, TA Nguyen, ...
arXiv preprint arXiv:2109.03264, 2021
Textless speech-to-speech translation on real data
A Lee, H Gong, PA Duquenne, H Schwenk, PJ Chen, C Wang, S Popuri, ...
arXiv preprint arXiv:2112.08352, 2021
To reverse the gradient or not: An empirical comparison of adversarial and multi-task learning in speech recognition
Y Adi, N Zeghidour, R Collobert, N Usunier, V Liptchinsky, G Synnaeve
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Unsupervised cross-domain singing voice conversion
A Polyak, L Wolf, Y Adi, Y Taigman
arXiv preprint arXiv:2008.02830, 2020
Audiogen: Textually guided audio generation
F Kreuk, G Synnaeve, A Polyak, U Singer, A Défossez, J Copet, D Parikh, ...
arXiv preprint arXiv:2209.15352, 2022
Textless speech emotion conversion using decomposed and discrete representations
F Kreuk, A Polyak, J Copet, E Kharitonov, TA Nguyen, M Rivière, WN Hsu, ...
arXiv preprint arXiv:2111.07402, 2021
SAGRNN: Self-attentive gated RNN for binaural speaker separation with interaural cue preservation
K Tan, B Xu, A Kumar, E Nachmani, Y Adi
IEEE Signal Processing Letters 28, 26-30, 2020
Sequence segmentation using joint RNN and structured prediction models
Y Adi, J Keshet, E Cibelli, M Goldrick
Proceedings of the... IEEE International Conference on Acoustics, Speech …, 2017
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