Qiantong Xu
Qiantong Xu
Facebook AI Research
Verified email at fb.com
Cited by
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An empirical study on evaluation metrics of generative adversarial networks
Q Xu, G Huang, Y Yuan, C Guo, Y Sun, F Wu, K Weinberger
arXiv preprint arXiv:1806.07755, 2018
Wav2letter++: A fast open-source speech recognition system
V Pratap, A Hannun, Q Xu, J Cai, J Kahn, G Synnaeve, V Liptchinsky, ...
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures
G Synnaeve*, Q Xu*, J Kahn*, E Grave*, T Likhomanenko, V Pratap, ...
arXiv preprint arXiv:1911.08460, 2019
Libri-Light: A Benchmark for ASR with Limited or No Supervision
J Kahn*, M Rivière*, W Zheng*, E Kharitonov*, Q Xu*, PE Mazaré*, ...
arXiv preprint arXiv:1912.07875, 2019
Fully convolutional speech recognition
N Zeghidour*, Q Xu*, V Liptchinsky, N Usunier, G Synnaeve, R Collobert
arXiv preprint arXiv:1812.06864, 2018
Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions
A Hannun, A Lee, Q Xu, R Collobert
arXiv preprint arXiv:1904.02619, 2019
Mls: A large-scale multilingual dataset for speech research
V Pratap, Q Xu, A Sriram, G Synnaeve, R Collobert
arXiv preprint arXiv:2012.03411, 2020
Iterative pseudo-labeling for speech recognition
Q Xu, T Likhomanenko, J Kahn, A Hannun, G Synnaeve, R Collobert
arXiv preprint arXiv:2005.09267, 2020
Self-training and Pre-training are Complementary for Speech Recognition
Q Xu*, A Baevski*, T Likhomanenko, P Tomasello, A Conneau, ...
arXiv preprint arXiv:2010.11430, 2020
Self-training for end-to-end speech translation
J Pino, Q Xu, X Ma, MJ Dousti, Y Tang
arXiv preprint arXiv:2006.02490, 2020
Scaling Up Online Speech Recognition Using ConvNets
V Pratap, Q Xu, J Kahn, G Avidov, T Likhomanenko, A Hannun, ...
arXiv preprint arXiv:2001.09727, 2020
slimipl: Language-model-free iterative pseudo-labeling
T Likhomanenko, Q Xu, J Kahn, G Synnaeve, R Collobert
arXiv preprint arXiv:2010.11524, 2020
Rethinking Evaluation in ASR: Are Our Models Robust Enough?
T Likhomanenko*, Q Xu*, V Pratap, P Tomasello, J Kahn, G Avidov, ...
arXiv preprint arXiv:2010.11745, 2020
Learning a repression network for precise vehicle search
Q Xu, K Yan, Y Tian
arXiv preprint arXiv:1708.02386, 2017
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training
WN Hsu, A Sriram, A Baevski, T Likhomanenko, Q Xu, V Pratap, J Kahn, ...
arXiv preprint arXiv:2104.01027, 2021
Spectral Frank-Wolfe algorithm: Strict complementarity and linear convergence
L Ding, Y Fei, Q Xu, C Yang
International Conference on Machine Learning, 2535-2544, 2020
Effects of meteorological factors on finger vein recognition
H Zheng*, Q Xu*, Y Ye, W Li
2017 IEEE International Conference on Identity, Security and Behavior …, 2017
CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings
T Likhomanenko, Q Xu, R Collobert, G Synnaeve, A Rogozhnikov
arXiv preprint arXiv:2106.03143, 2021
Simple and Effective Zero-shot Cross-lingual Phoneme Recognition
Q Xu, A Baevski, M Auli
arXiv preprint arXiv:2109.11680, 2021
Kaizen: Continuously improving teacher using Exponential Moving Average for semi-supervised speech recognition
V Manohar, T Likhomanenko, Q Xu, WN Hsu, R Collobert, Y Saraf, ...
arXiv preprint arXiv:2106.07759, 2021
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