Articles with public access mandates - Jonathan Le RouxLearn more
Available somewhere: 17
Improved MVDR beamforming using single-channel mask prediction networks.
H Erdogan, JR Hershey, S Watanabe, MI Mandel, J Le Roux
Interspeech, 1981-1985, 2016
Mandates: US National Science Foundation
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
Mandates: German Research Foundation
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
Mandates: US National Science Foundation, US National Institutes of Health
MIMO-Speech: End-to-end multi-channel multi-speaker speech recognition
X Chang, W Zhang, Y Qian, J Le Roux, S Watanabe
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019
Mandates: National Natural Science Foundation of China
End-to-end multi-speaker speech recognition with transformer
X Chang, W Zhang, Y Qian, J Le Roux, S Watanabe
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Mandates: National Natural Science Foundation of China
Cycle-consistency training for end-to-end speech recognition
T Hori, R Astudillo, T Hayashi, Y Zhang, S Watanabe, J Le Roux
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Mandates: Fundação para a Ciência e a Tecnologia, Portugal
Phasebook and friends: Leveraging discrete representations for source separation
J Le Roux, G Wichern, S Watanabe, A Sarroff, JR Hershey
IEEE Journal of Selected Topics in Signal Processing 13 (2), 370-382, 2019
Mandates: US National Science Foundation
Finding strength in weakness: Learning to separate sounds with weak supervision
F Pishdadian, G Wichern, J Le Roux
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2386-2399, 2020
Mandates: US National Science Foundation
STFT-domain neural speech enhancement with very low algorithmic latency
ZQ Wang, G Wichern, S Watanabe, J Le Roux
IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 397-410, 2022
Mandates: US National Science Foundation
Visual scene graphs for audio source separation
M Chatterjee, J Le Roux, N Ahuja, A Cherian
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Mandates: US Department of Defense, US Department of Agriculture
Convolutive prediction for monaural speech dereverberation and noisy-reverberant speaker separation
ZQ Wang, G Wichern, J Le Roux
IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 3476-3490, 2021
Mandates: US National Science Foundation
BEATs-based audio captioning model with INSTRUCTOR embedding supervision and ChatGPT mix-up
SL Wu, X Chang, G Wichern, J Jung, F Germain, J Le Roux, S Watanabe
Proc. Conf. Detection Classification Acoust. Scenes Events, Challenge, 1-5, 2023
Mandates: US National Science Foundation
Consistent anisotropic Wiener filtering for audio source separation
P Magron, J Le Roux, T Virtanen
2017 IEEE Workshop on Applications of Signal Processing to Audio and …, 2017
Mandates: Academy of Finland
Tackling the cocktail fork problem for separation and transcription of real-world soundtracks
D Petermann, G Wichern, AS Subramanian, ZQ Wang, J Le Roux
IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 2592-2605, 2023
Mandates: US National Science Foundation
Bootstrapping deep music separation from primitive auditory grouping principles
P Seetharaman, G Wichern, J Le Roux, B Pardo
arXiv preprint arXiv:1910.11133, 2019
Mandates: US National Science Foundation
GLA-Grad: A Griffin-Lim Extended Waveform Generation Diffusion Model
H Liu, T Baoueb, M Fontaine, J Le Roux, G Richard
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
Mandates: Agence Nationale de la Recherche
Deep clustering-based single-channel speech separation and recent advances
R Aihara, G Wichern, J Le Roux
Acoustical Science and Technology 41 (2), 465-471, 2020
Mandates: US National Science Foundation
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