| SpeechBrain: A general-purpose speech toolkit M Ravanelli, T Parcollet, P Plantinga, A Rouhe, S Cornell, L Lugosch, ... arXiv preprint arXiv:2106.04624, 2021 | 412 | 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 | 328 | 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 | 159 | 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 | 130 | 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 | 71 | 2020 |
| 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 ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 36 | 2023 |
| Detecting and counting overlapping speakers in distant speech scenarios S Cornell, M Omologo, S Squartini, E Vincent INTERSPEECH 2020, 2020 | 28 | 2020 |
| Tf-gridnet: Integrating full-and sub-band modeling for speech separation ZQ Wang, S Cornell, S Choi, Y Lee, BY Kim, S Watanabe IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023 | 21 | 2023 |
| 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 | 19 | 2021 |
| Speechbrain M Ravanelli, T Parcollet, A Rouhe, P Plantinga, E Rastorgueva, ... GitHub repository, 2021 | 18 | 2021 |
| 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 | 17 | |
| 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 | 15 | 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 | 15 | 2022 |
| Overlapped speech detection and speaker counting using distant microphone arrays S Cornell, M Omologo, S Squartini, E Vincent Computer Speech & Language 72, 101306, 2022 | 14 | 2022 |
| On using transformers for speech-separation C Subakan, M Ravanelli, S Cornell, F Grondin, M Bronzi arXiv preprint arXiv:2202.02884, 2022 | 14 | 2022 |
| SpeechBrain: A general-purpose speech toolkit. arXiv M Ravanelli, T Parcollet, P Plantinga, A Rouhe, S Cornell, L Lugosch, ... arXiv preprint arXiv:2106.04624, 2021 | 13 | 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 | 13 | 2019 |
| The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios S Cornell, M Wiesner, S Watanabe, D Raj, X Chang, P Garcia, ... arXiv preprint arXiv:2306.13734, 2023 | 11 | 2023 |
| 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 | 9 | 2022 |
| End-to-end integration of speech recognition, dereverberation, beamforming, and self-supervised learning representation Y Masuyama, X Chang, S Cornell, S Watanabe, N Ono 2022 IEEE Spoken Language Technology Workshop (SLT), 260-265, 2023 | 8 | 2023 |
Cem SubakanAssistant Prof. at Université Laval, Department of Computer Science and Software EngineeringVerified email at ift.ulaval.ca
