متابعة
Jonathan Le Roux
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
16392016
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
14222019
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
7892015
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
7262015
Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures‏
JR Hershey, J Le Roux, F Weninger‏
arXiv preprint arXiv:1409.2574, 2014‏
5552014
Single-channel multi-speaker separation using deep clustering‏
Y Isik, J Le Roux, Z Chen, S Watanabe, JR Hershey‏
arXiv preprint arXiv:1607.02173, 2016‏
5102016
WHAM!: Extending speech separation to noisy environments‏
G Wichern, J Antognini, M Flynn, LR Zhu, E McQuinn, D Crow, E Manilow, ...‏
arXiv preprint arXiv:1907.01160, 2019‏
4022019
Improved MVDR beamforming using single-channel mask prediction networks.‏
H Erdogan, JR Hershey, S Watanabe, MI Mandel, J Le Roux‏
Interspeech, 1981-1985, 2016‏
3902016
Full-capacity unitary recurrent neural networks‏
S Wisdom, T Powers, J Hershey, J Le Roux, L Atlas‏
Advances in Neural Information Processing Systems, 2016‏
3752016
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
3682014
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
2842015
Multi-channel deep clustering: Discriminative spectral and spatial embeddings for speaker-independent speech separation‏
ZQ Wang, J Le Roux, JR Hershey‏
2018 IEEE International conference on acoustics, speech and signal …, 2018‏
2802018
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
2742013
Streaming automatic speech recognition with the transformer model‏
N Moritz, T Hori, J Le Roux‏
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020‏
2412020
Universal sound separation‏
I Kavalerov, S Wisdom, H Erdogan, B Patton, K Wilson, J Le Roux, ...‏
2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019‏
2372019
Alternative objective functions for deep clustering‏
ZQ Wang, J Le Roux, JR Hershey‏
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018‏
2282018
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
2182006
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
2162017
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
2072008
WHAMR!: Noisy and reverberant single-channel speech separation‏
M Maciejewski, G Wichern, E McQuinn, J Le Roux‏
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020‏
2052020
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مقالات 1–20