Jonathan Le Roux
Jonathan Le Roux
Verified email at - Homepage
Cited by
Cited by
Deep clustering: Discriminative embeddings for segmentation and separation
JR Hershey, Z Chen, J Le Roux, S Watanabe
2016 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2016
Phase-sensitive and Recognition-boosted Speech Separation Using Deep Recurrent Neural Networks
H Erdogan, JR Hershey, S Watanabe, J Le Roux
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015
Speech Enhancement with LSTM Recurrent Neural Networks and its Application to Noise-Robust ASR
F Weninger, H Erdogan, S Watanabe, E Vincent, J Le Roux, JR Hershey, ...
Latent Variable Analysis and Signal Separation: 12th International …, 2015
Single-channel multi-speaker separation using deep clustering
Y Isik, JL Roux, Z Chen, S Watanabe, JR Hershey
arXiv preprint arXiv:1607.02173, 2016
Discriminatively trained recurrent neural networks for single-channel speech separation
F Weninger, JR Hershey, J Le Roux, B Schuller
2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2014
The second 'CHiME' Speech Separation and Recognition Challenge: Datasets, tasks and baselines
E Vincent, J Barker, S Watanabe, J Le Roux, F Nesta, M Matassoni
2013 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2013
Discriminative training for large-vocabulary speech recognition using minimum classification error
E McDermott, TJ Hazen, J Le Roux, A Nakamura, S Katagiri
IEEE Transactions on Audio, Speech, and Language Processing 15 (1), 203-223, 2006
Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures
JR Hershey, J Le Roux, F Weninger
arXiv preprint arXiv:1409.2574, 2014
Separation of a monaural audio signal into harmonic/percussive components by complementary diffusion on spectrogram
N Ono, K Miyamoto, J Le Roux, H Kameoka, S Sagayama
2008 16th European Signal Processing Conference, 1-4, 2008
Full-capacity unitary recurrent neural networks
S Wisdom, T Powers, J Hershey, J Le Roux, L Atlas
Advances in Neural Information Processing Systems, 2016
Phase processing for single-channel speech enhancement: History and recent advances
T Gerkmann, M Krawczyk-Becker, J Le Roux
IEEE signal processing Magazine 32 (2), 55-66, 2015
Improved mvdr beamforming using single-channel mask prediction networks.
H Erdogan, JR Hershey, S Watanabe, MI Mandel, J Le Roux
Interspeech, 1981-1985, 2016
Convergence-guaranteed multiplicative algorithms for nonnegative matrix factorization with β-divergence
M Nakano, H Kameoka, J Le Roux, Y Kitano, N Ono, S Sagayama
IEEE International Workshop on Machine Learning for Signal Processing (MLSP) 10, 2010
SDR–half-baked or well done?
J Le Roux, S Wisdom, H Erdogan, JR Hershey
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Deep clustering and conventional networks for music separation: Stronger together
Y Luo, Z Chen, JR Hershey, J Le Roux, N Mesgarani
2017 IEEE international conference on acoustics, speech and signal …, 2017
Alternative objective functions for deep clustering
ZQ Wang, J Le Roux, JR Hershey
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
Deep NMF for Speech Separation
J Le Roux, JR Hershey, F Weninger
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015
Consistent Wiener filtering for audio source separation
J Le Roux, E Vincent
Signal Processing Letters 20 (3), 2013
Entropy and chaos in the Kac model
EA Carlen, MC Carvalho, J Le Roux, M Loss, C Villani
Kinetic and Related Models 3 (1), 85--122, 2010
Explicit consistency constraints for STFT spectrograms and their application to phase reconstruction
J Le Roux, N Ono, S Sagayama
Proc. SAPA, 23-28, 2008
The system can't perform the operation now. Try again later.
Articles 1–20