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Cem Subakan
Cem Subakan
Assistant Prof. at Laval University, Department of Computer Science and Software Engineering
Adresă de e-mail confirmată pe ift.ulaval.ca - Pagina de pornire
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SpeechBrain: A general-purpose speech toolkit
M Ravanelli, T Parcollet, P Plantinga, A Rouhe, S Cornell, L Lugosch, ...
arXiv preprint arXiv:2106.04624, 2021
7462021
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
6722021
Generative adversarial source separation
YC Subakan, P Smaragdis
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
912018
Two-step sound source separation: Training on learned latent targets
E Tzinis, S Venkataramani, Z Wang, C Subakan, P Smaragdis
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
902020
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
Continual learning of new sound classes using generative replay
Z Wang, C Subakan, E Tzinis, P Smaragdis, L Charlin
2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019
262019
Diagonal RNNs in symbolic music modeling
YC Subakan, P Smaragdis
2017 IEEE Workshop on Applications of Signal Processing to Audio and …, 2017
242017
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
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
Neural network alternatives toconvolutive audio models for source separation
S Venkataramani, C Subakan, P Smaragdis
2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017
202017
Spectral learning of mixture of hidden markov models
C Subakan, J Traa, P Smaragdis
Advances in Neural Information Processing Systems 27, 2014
202014
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
SpeechBrain: a general-purpose speech toolkit (2021)
M Ravanelli, T Parcollet, P Plantinga, A Rouhe, S Cornell, L Lugosch, ...
arXiv preprint arXiv:2106.04624, 2022
182022
Learning representations for new sound classes with continual self-supervised learning
Z Wang, C Subakan, X Jiang, J Wu, E Tzinis, M Ravanelli, P Smaragdis
IEEE Signal Processing Letters 29, 2607-2611, 2022
172022
Probabilistic latent tensor factorization framework for audio modeling
AT Cemgil, U Șimșekli, YC Sübakan
2011 IEEE Workshop on Applications of Signal Processing to Audio and …, 2011
162011
Resource-efficient separation transformer
L Della Libera, C Subakan, M Ravanelli, S Cornell, F Lepoutre, F Grondin
arXiv preprint arXiv:2206.09507, 2022
152022
Method of moments learning for left-to-right hidden Markov models
YC Subakan, J Traa, P Smaragdis, D Hsu
2015 IEEE workshop on applications of signal processing to audio and …, 2015
152015
Probabilistic sequence clustering with spectral learning
YC Sübakan, B Kurt, AT Cemgil, B Sankur
Digital Signal Processing 29, 1-19, 2014
152014
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