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Jason Li
Jason Li
Verified email at nvidia.com
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Quartznet: Deep automatic speech recognition with 1d time-channel separable convolutions
S Kriman, S Beliaev, B Ginsburg, J Huang, O Kuchaiev, V Lavrukhin, ...
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
3072020
Jasper: An end-to-end convolutional neural acoustic model
J Li, V Lavrukhin, B Ginsburg, R Leary, O Kuchaiev, JM Cohen, H Nguyen, ...
arXiv preprint arXiv:1904.03288, 2019
2612019
Nemo: a toolkit for building ai applications using neural modules
O Kuchaiev, J Li, H Nguyen, O Hrinchuk, R Leary, B Ginsburg, S Kriman, ...
arXiv preprint arXiv:1909.09577, 2019
2092019
Mellotron: Multispeaker expressive voice synthesis by conditioning on rhythm, pitch and global style tokens
R Valle, J Li, R Prenger, B Catanzaro
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
1512020
Stochastic gradient methods with layer-wise adaptive moments for training of deep networks
B Ginsburg, P Castonguay, O Hrinchuk, O Kuchaiev, V Lavrukhin, R Leary, ...
arXiv preprint arXiv:1905.11286, 2019
922019
Training neural speech recognition systems with synthetic speech augmentation
J Li, R Gadde, B Ginsburg, V Lavrukhin
arXiv preprint arXiv:1811.00707, 2018
582018
Mixed-precision training for nlp and speech recognition with openseq2seq
O Kuchaiev, B Ginsburg, I Gitman, V Lavrukhin, J Li, H Nguyen, C Case, ...
arXiv preprint arXiv:1805.10387, 2018
432018
SpeakerNet: 1D depth-wise separable convolutional network for text-independent speaker recognition and verification
NR Koluguri, J Li, V Lavrukhin, B Ginsburg
arXiv preprint arXiv:2010.12653, 2020
412020
Cross-language transfer learning, continuous learning, and domain adaptation for end-to-end automatic speech recognition
J Huang, O Kuchaiev, P O'Neill, V Lavrukhin, J Li, A Flores, G Kucsko, ...
arXiv preprint arXiv:2005.04290, 2020
222020
Adapting tts models for new speakers using transfer learning
P Neekhara, J Li, B Ginsburg
arXiv preprint arXiv:2110.05798, 2021
102021
Ace-vc: Adaptive and controllable voice conversion using explicitly disentangled self-supervised speech representations
S Hussain, P Neekhara, J Huang, J Li, B Ginsburg
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
92023
Training deep networks with stochastic gradient normalized by layerwise adaptive second moments
B Ginsburg, P Castonguay, O Hrinchuk, O Kuchaiev, V Lavrukhin, R Leary, ...
92019
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