| LibriMix: An Open-Source Dataset for Generalizable Speech Separation J Cosentino, M Pariente, S Cornell, A Deleforge, E Vincent arXiv preprint arXiv:2005.11262, 2020 | 319 | 2020 |
| Asteroid: the PyTorch-based audio source separation toolkit for researchers M Pariente, S Cornell, J Cosentino, S Sivasankaran, E Tzinis, ... Interspeech, 2637-2641, 2020 | 208* | 2020 |
| Asteroid: the PyTorch-based audio source separation toolkit for researchers M Pariente, S Cornell, J Cosentino, S Sivasankaran, E Tzinis, ... arXiv preprint arXiv:2005.04132, 2020 | 175 | 2020 |
| Filterbank design for end-to-end speech separation M Pariente, S Cornell, A Deleforge, E Vincent ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 89 | 2020 |
| A statistically principled and computationally efficient approach to speech enhancement using variational autoencoders M Pariente, A Deleforge, E Vincent arXiv preprint arXiv:1905.01209, 2019 | 24 | 2019 |
| The CHiME-7 UDASE task: Unsupervised domain adaptation for conversational speech enhancement S Leglaive, L Borne, E Tzinis, M Sadeghi, M Fraticelli, S Wisdom, ... arXiv preprint arXiv:2307.03533, 2023 | 17 | 2023 |
| Multi-Channel Target Speaker Extraction with Refinement: The WavLab Submission to the Second Clarity Enhancement Challenge S Cornell, ZQ Wang, Y Masuyama, S Watanabe, M Pariente, N Ono arXiv preprint arXiv:2302.07928, 2023 | 11 | 2023 |
| Learning filterbanks for end-to-end acoustic beamforming S Cornell, M Pariente, F Grondin, S Squartini ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 9 | 2022 |
| Task-Aware Separation for the DCASE 2020 Task 4 Sound Event Detection and Separation Challenge S Cornell, M Olvera, M Pariente, G Pepe, E Principi, L Gabrielli, ... DCASE 2020-5th Workshop on Detection and Classification of Acoustic Scenes …, 2020 | 7 | 2020 |
| Domain-Adversarial Training and Trainable Parallel Front-end for the DCASE 2020 Task 4 Sound Event Detection Challenge S Cornell, M Olvera, M Pariente, G Pepe, E Principi, L Gabrielli, ... DCASE 2020-5th Workshop on Detection and Classification of Acoustic Scenes …, 2020 | 6 | 2020 |
| The univpm-inria systems for the dcase 2020 task 4 S Cornell, G Pepe, E Principi, M Pariente, M Olvera, L Gabrielli, ... Proc. Workshop Detection Classification Acoust. Scenes Events, 2020 | 6 | 2020 |
| Multi-Channel Speaker Extraction with Adversarial Training: The Wavlab Submission to The Clarity ICASSP 2023 Grand Challenge S Cornell, ZQ Wang, Y Masuyama, S Watanabe, M Pariente, N Ono, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 5 | 2023 |
| Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge S Leglaive, M Fraticelli, H ElGhazaly, L Borne, M Sadeghi, S Wisdom, ... Computer Speech & Language 89, 101685, 2025 | 4 | 2025 |
| Predictive denoising of speech in noise using deep neural networks M Pariente, D Pressnitzer The Journal of the Acoustical Society of America 142 (4_Supplement), 2611-2611, 2017 | 4 | 2017 |
| Implicit and explicit phase modeling in deep learning-based source separation M Pariente Université de Lorraine, 2021 | | 2021 |
| Implicit and explicit phase modeling in deep learning-based source separation M Pariente Université de Lorraine, 2021 | | 2021 |
Samuele CornellCarnegie Mellon University, Language Technologies InstituteVerified email at andrew.cmu.edu