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Cem Subakan
Cem Subakan
Assistant Prof. at Université Laval, Department of Computer Science and Software Engineering
Verified email at ift.ulaval.ca - Homepage
Title
Cited by
Cited by
Year
SpeechBrain: A general-purpose speech toolkit
M Ravanelli, T Parcollet, P Plantinga, A Rouhe, S Cornell, L Lugosch, ...
arXiv preprint arXiv:2106.04624, 2021
4962021
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
4052021
Generative adversarial source separation
YC Subakan, P Smaragdis
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
772018
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
742020
Diagonal RNNs in symbolic music modeling
YC Subakan, P Smaragdis
2017 IEEE Workshop on Applications of Signal Processing to Audio and …, 2017
242017
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
212019
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
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
20
Speechbrain
M Ravanelli, T Parcollet, A Rouhe, P Plantinga, E Rastorgueva, ...
GitHub repository, 2021
192021
On using transformers for speech-separation
C Subakan, M Ravanelli, S Cornell, F Grondin, M Bronzi
arXiv preprint arXiv:2202.02884, 2022
182022
Spectral learning of mixture of hidden markov models
C Subakan, J Traa, P Smaragdis
Advances in Neural Information Processing Systems 27, 2014
182014
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
172021
Probabilistic latent tensor factorization framework for audio modeling
AT Cemgil, U Şimşekli, YC Sübakan
2011 IEEE Workshop on Applications of Signal Processing to Audio and …, 2011
172011
Probabilistic sequence clustering with spectral learning
YC Sübakan, B Kurt, AT Cemgil, B Sankur
Digital Signal Processing 29, 1-19, 2014
142014
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
132015
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
122022
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
112022
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
102022
Resource-efficient separation transformer
C Subakan, M Ravanelli, S Cornell, F Lepoutre, F Grondin
arXiv preprint arXiv:2206.09507, 2022
82022
Learning the base distribution in implicit generative models
C Subakan, O Koyejo, P Smaragdis
arXiv preprint arXiv:1803.04357, 2018
82018
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