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Samuele Cornell
Samuele Cornell
Carnegie Mellon University, Language Technologies Institute
Bestätigte E-Mail-Adresse bei andrew.cmu.edu
Titel
Zitiert von
Zitiert von
Jahr
SpeechBrain: A general-purpose speech toolkit
M Ravanelli, T Parcollet, P Plantinga, A Rouhe, S Cornell, L Lugosch, ...
arXiv preprint arXiv:2106.04624, 2021
7472021
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
6702021
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
3202020
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
1762020
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
1122023
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
902020
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
822023
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
582023
Detecting and counting overlapping speakers in distant speech scenarios
S Cornell, M Omologo, S Squartini, E Vincent
INTERSPEECH 2020, 2020
372020
Exploring self-attention mechanisms for speech separation
C Subakan, M Ravanelli, S Cornell, F Grondin, M Bronzi
IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 2169-2180, 2023
342023
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
312021
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
302022
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
292022
Overlapped speech detection and speaker counting using distant microphone arrays
S Cornell, M Omologo, S Squartini, E Vincent
Computer Speech & Language 72, 101306, 2022
252022
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
24
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
222023
Speechbrain
M Ravanelli, T Parcollet, A Rouhe, P Plantinga, E Rastorgueva, ...
GitHub repository, 2021
212021
On using transformers for speech-separation
C Subakan, M Ravanelli, S Cornell, F Grondin, M Bronzi
arXiv preprint arXiv:2202.02884, 2022
202022
SpeechBrain: a general-purpose speech toolkit. arXiv
M Ravanelli, T Parcollet, P Plantinga, A Rouhe, S Cornell, L Lugosch, ...
arXiv preprint arXiv:2106.04624 10, 2021
202021
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
192022
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