| SpeechBrain: A general-purpose speech toolkit M Ravanelli, T Parcollet, P Plantinga, A Rouhe, S Cornell, L Lugosch, ... arXiv preprint arXiv:2106.04624, 2021 | 204 | 2021 |
| Attention is all you need in speech separation C Subakan, M Ravanelli, S Cornell, M Bronzi, J Zhong ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 171 | 2021 |
| 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 | 103 | 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 | 100 | 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 | 53 | 2020 |
| Detecting and counting overlapping speakers in distant speech scenarios S Cornell, M Omologo, S Squartini, E Vincent INTERSPEECH 2020, 2020 | 21 | 2020 |
| Speechbrain M Ravanelli, T Parcollet, A Rouhe, P Plantinga, E Rastorgueva, ... GitHub repository, 2021 | 17 | 2021 |
| The impact of non-target events in synthetic soundscapes for sound event detection F Ronchini, R Serizel, N Turpault, S Cornell arXiv preprint arXiv:2109.14061, 2021 | 8 | 2021 |
| The speed submission to DIHARD II: Contributions & lessons learned M Sahidullah, J Patino, S Cornell, R Yin, S Sivasankaran, H Bredin, ... arXiv preprint arXiv:1911.02388, 2019 | 8 | 2019 |
| Overlapped speech detection and speaker counting using distant microphone arrays S Cornell, M Omologo, S Squartini, E Vincent Computer Speech & Language 72, 101306, 2022 | 7 | 2022 |
| TF-GridNet: Making time-frequency domain models great again for monaural speaker separation ZQ Wang, S Cornell, S Choi, Y Lee, BY Kim, S Watanabe arXiv preprint arXiv:2209.03952, 2022 | 6 | 2022 |
| 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 |
| ESPnet-SE++: Speech enhancement for robust speech recognition, translation, and understanding YJ Lu, X Chang, C Li, W Zhang, S Cornell, Z Ni, Y Masuyama, B Yan, ... arXiv preprint arXiv:2207.09514, 2022 | 5 | 2022 |
| Towards low-distortion multi-channel speech enhancement: The ESPNet-SE submission to the L3DAS22 challenge YJ Lu, S Cornell, X Chang, W Zhang, C Li, Z Ni, ZQ Wang, S Watanabe ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 5 | 2022 |
| 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 | 5 | 2020 |
| SpeechBrain: A general-purpose speech toolkit. arXiv 2021 M Ravanelli, T Parcollet, P Plantinga, A Rouhe, S Cornell, L Lugosch, ... arXiv preprint arXiv:2106.04624, 0 | 5 | |
| REAL-M: Towards speech separation on real mixtures C Subakan, M Ravanelli, S Cornell, F Grondin ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 4 | 2022 |
| On using transformers for speech-separation C Subakan, M Ravanelli, S Cornell, F Grondin, M Bronzi arXiv preprint arXiv:2202.02884, 2022 | 4 | 2022 |
| Resource-efficient separation transformer C Subakan, M Ravanelli, S Cornell, F Lepoutre, F Grondin arXiv preprint arXiv:2206.09507, 2022 | 3 | 2022 |
| 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 | 3 | 2022 |
Cem SubakanMontreal Institute of Learning Algorithms (MILA)Verified email at boun.edu.tr
