Cem Subakan
Cem Subakan
Montreal Institute of Learning Algorithms (MILA)
Verified email at boun.edu.tr - Homepage
Title
Cited by
Cited by
Year
Generative adversarial source separation
YC Subakan, P Smaragdis
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
382018
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
292020
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
242021
Diagonal RNNs in symbolic music modeling
YC Subakan, P Smaragdis
2017 IEEE Workshop on Applications of Signal Processing to Audio and …, 2017
182017
Spectral learning of mixture of hidden markov models
C Subakan, J Traa, P Smaragdis
Advances in Neural Information Processing Systems 27, 2249-2257, 2014
162014
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
162011
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
152017
SpeechBrain: A General-Purpose Speech Toolkit
M Ravanelli, T Parcollet, P Plantinga, A Rouhe, S Cornell, L Lugosch, ...
arXiv preprint arXiv:2106.04624, 2021
122021
Speechbrain
M Ravanelli, T Parcollet, A Rouhe, P Plantinga, E Rastorgueva, ...
112021
Probabilistic sequence clustering with spectral learning
YC Sübakan, B Kurt, AT Cemgil, B Sankur
Digital Signal Processing 29, 1-19, 2014
112014
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
82015
Learning the base distribution in implicit generative models
C Subakan, O Koyejo, P Smaragdis
arXiv preprint arXiv:1803.04357, 2018
62018
Probabilistic time series classification
YC Sübakan
Master’s thesis, Bogaziçi University, 2011. 72, 2013
42013
An automatic maneuver assessment system for R/C aerobatic model helicopter competitions
YC Sübakan, O Ağcaoğlu, B Sankur
2011 IEEE 19th Signal Processing and Communications Applications Conference …, 2011
32011
A generative modeling approach for interpreting population-level variability in brain structure
R Liu, C Subakan, AH Balwani, J Whitesell, J Harris, S Koyejo, EL Dyer
International Conference on Medical Image Computing and Computer-Assisted …, 2020
22020
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
22019
A dictionary learning approach for factorial gaussian models
YC Subakan, J Traa, P Smaragdis, N Stein
arXiv preprint arXiv:1508.04486, 2015
12015
Spectral learning of mixtures of Hidden Markov Models
YC Sübakan, O Çeliktutan, AT Cemgil, B Sankur
2013 21st Signal Processing and Communications Applications Conference (SIU …, 2013
12013
Spectral Learning for Mixture of Markov Models
YC Subakan, B Kurt, AT Cemgil, B Sankur
Neural Information Processing Systems, 2013
12013
Spectral Learning of Infinite Mixture of Hidden Markov Models for Human Action Recognition
YC Sübakan, O Celiktutan, AT Cemgil, B Sankur
Neural Information Processing Systems, Spectral Learning for Latent Variable …, 2012
12012
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