| Fader networks: Manipulating images by sliding attributes G Lample, N Zeghidour, N Usunier, A Bordes, L Denoyer, MA Ranzato Advances in Neural Information Processing Systems, 2017 | 460 | 2017 |
| Wavesplit: End-to-end speech separation by speaker clustering N Zeghidour, D Grangier IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 2840-2849, 2021 | 138 | 2021 |
| End-to-end speech recognition from the raw waveform N Zeghidour, N Usunier, G Synnaeve, R Collobert, E Dupoux Interspeech 2018, 2018 | 90 | 2018 |
| Learning Filterbanks from Raw Speech for Phone Recognition N Zeghidour, N Usunier, I Kokkinos, T Schatz, G Synnaeve, E Dupoux ICASSP 2018, 2017 | 83 | 2017 |
| Fully convolutional speech recognition N Zeghidour, Q Xu, V Liptchinsky, N Usunier, G Synnaeve, R Collobert arXiv preprint arXiv:1812.06864, 2018 | 81 | 2018 |
| Contrastive learning of general-purpose audio representations A Saeed, D Grangier, N Zeghidour ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 73 | 2021 |
| Joint learning of speaker and phonetic similarities with siamese networks. N Zeghidour, G Synnaeve, N Usunier, E Dupoux INTERSPEECH, 1295-1299, 2016 | 56 | 2016 |
| Sing: Symbol-to-instrument neural generator A Défossez, N Zeghidour, N Usunier, L Bottou, F Bach Advances in Neural Information Processing Systems, 2018 | 44 | 2018 |
| LEAF: A Learnable Frontend for Audio Classification N Zeghidour, O Teboul, FC Quitry, M Tagliasacchi ICLR 2021, 2021 | 43 | 2021 |
| A Deep Scattering Spectrum - Deep Siamese network Pipeline For Unsupervised Acoustic Modeling N Zeghidour, G Synnaeve, M Versteegh, E Dupoux 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 42 | 2016 |
| 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 | 28 | 2019 |
| Soundstream: An end-to-end neural audio codec N Zeghidour, A Luebs, A Omran, J Skoglund, M Tagliasacchi IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 495-507, 2021 | 25 | 2021 |
| Sampling strategies in siamese networks for unsupervised speech representation learning R Riad, C Dancette, J Karadayi, N Zeghidour, T Schatz, E Dupoux Interspeech 2018, 2018 | 24 | 2018 |
| Learning to detect dysarthria from raw speech J Millet, N Zeghidour ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 22 | 2019 |
| Deep multi-class learning from label proportions G Dulac-Arnold, N Zeghidour, M Cuturi, L Beyer, JP Vert arXiv preprint arXiv:1905.12909, 2019 | 21 | 2019 |
| Plasma levels of eight different mediators and their potential as biomarkers of various clinical malaria conditions in African children R Tahar, C Albergaria, N Zeghidour, VF Ngane, LK Basco, C Roussilhon Malaria journal 15 (1), 1-15, 2016 | 16 | 2016 |
| Self-supervised learning of audio representations from permutations with differentiable ranking AN Carr, Q Berthet, M Blondel, O Teboul, N Zeghidour IEEE Signal Processing Letters 28, 708-712, 2021 | 10 | 2021 |
| Learning weakly supervised multimodal phoneme embeddings R Chaabouni, E Dunbar, N Zeghidour, E Dupoux Interspeech 2017, 2017 | 10 | 2017 |
| Learning from heterogeneous eeg signals with differentiable channel reordering A Saeed, D Grangier, O Pietquin, N Zeghidour ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 9 | 2021 |
| Learning representations of speech from the raw waveform N Zeghidour Paris Sciences et Lettres (ComUE), 2019 | 7 | 2019 |
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