| Simple and controllable music generation J Copet, F Kreuk, I Gat, T Remez, D Kant, G Synnaeve, Y Adi, A Défossez Advances in Neural Information Processing Systems 36, 2024 | 282 | 2024 |
| 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 | 259 | 2022 |
| Fooling End-to-end Speaker Verification by Adversarial Examples F Kreuk, Y Adi, M Cisse, J Keshet ICASSP 2018 IEEE International Conference in Acoustic, Speech and Signal …, 2018 | 239 | 2018 |
| The llama 3 herd of models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024 | 221 | 2024 |
| Deceiving end-to-end deep learning malware detectors using adversarial examples F Kreuk, A Barak, S Aviv-Reuven, M Baruch, B Pinkas, J Keshet Workshop on Security in Machine Learning (NeurIPS), 2018 | 182* | 2018 |
| A Causal View of Compositional Zero-shot Recognition Y Atzmon, F Kreuk, U Shalit, G Chechik Advances in Neural Information Processing Systems (NeurIPS), 2020, 2020 | 129 | 2020 |
| Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation F Kreuk, J Keshet, Y Adi INTERSPEECH 2020 The Annual Conference of the International Speech …, 2020 | 89 | 2020 |
| Textless speech emotion conversion using discrete and decomposed representations F Kreuk, A Polyak, J Copet, E Kharitonov, TA Nguyen, M Rivière, WN Hsu, ... arXiv preprint arXiv:2111.07402, 2021 | 62 | 2021 |
| Hide and speak: Towards deep neural networks for speech steganography F Kreuk, Y Adi, B Raj, R Singh, J Keshet INTERSPEECH 2020 The Annual Conference of the International Speech …, 2019 | 44* | 2019 |
| Textually pretrained speech language models M Hassid, T Remez, TA Nguyen, I Gat, A Conneau, F Kreuk, J Copet, ... Advances in Neural Information Processing Systems 36, 2024 | 38 | 2024 |
| Phoneme Boundary Detection using Learnable Segmental Features F Kreuk, Y Sheena, J Keshet, Y Adi ICASSP 2020 IEEE International Conference in Acoustic, Speech and Signal …, 2020 | 27 | 2020 |
| Expresso: A benchmark and analysis of discrete expressive speech resynthesis TA Nguyen, WN Hsu, A d'Avirro, B Shi, I Gat, M Fazel-Zarani, T Remez, ... arXiv preprint arXiv:2308.05725, 2023 | 26 | 2023 |
| Masked audio generation using a single non-autoregressive transformer A Ziv, I Gat, GL Lan, T Remez, F Kreuk, A Défossez, J Copet, G Synnaeve, ... arXiv preprint arXiv:2401.04577, 2024 | 18 | 2024 |
| Speech time-scale modification with GANs E Cohen, F Kreuk, J Keshet IEEE Signal Processing Letters 29, 1067-1071, 2022 | 11 | 2022 |
| Augmentation invariant discrete representation for generative spoken language modeling I Gat, F Kreuk, TA Nguyen, A Lee, J Copet, G Synnaeve, E Dupoux, Y Adi arXiv preprint arXiv:2209.15483, 2022 | 9 | 2022 |
| On the robustness of self-supervised representations for spoken language modeling I Gat, F Kreuk, A Lee, J Copet, G Synnaeve, E Dupoux, Y Adi arXiv preprint arXiv:2209.15483, 2022 | 7 | 2022 |
| A Systematic Comparison of Phonetic Aware Techniques for Speech Enhancement O Tal, M Mandel, F Kreuk, Y Adi INTERSPEECH 2022 The Annual Conference of the International Speech …, 2022 | 5 | 2022 |
| Self-supervised Speaker Diarization Y Dissen, F Kreuk, J Keshet INTERSPEECH 2022 The Annual Conference of the International Speech …, 2022 | 5 | 2022 |
| Audio language modeling using perceptually-guided discrete representations F Kreuk, Y Taigman, A Polyak, J Copet, G Synnaeve, A Défossez, Y Adi arXiv preprint arXiv:2211.01223, 2022 | 4 | 2022 |
| Joint Audio and Symbolic Conditioning for Temporally Controlled Text-to-Music Generation O Tal, A Ziv, I Gat, F Kreuk, Y Adi arXiv preprint arXiv:2406.10970, 2024 | 2 | 2024 |
Yossi AdiThe Hebrew University of JerusalemBestätigte E-Mail-Adresse bei mail.huji.ac.il
