Qiantong Xu
Qiantong Xu
Facebook AI Research
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Data2vec: A general framework for self-supervised learning in speech, vision and language
A Baevski, WN Hsu, Q Xu, A Babu, J Gu, M Auli
International Conference on Machine Learning, 2022, 2022
Libri-Light: A Benchmark for ASR with Limited or No Supervision
J Kahn*, M Rivière*, W Zheng*, E Kharitonov*, Q Xu*, PE Mazaré*, ...
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2019
Xls-r: Self-supervised cross-lingual speech representation learning at scale
A Babu, C Wang, A Tjandra, K Lakhotia, Q Xu, N Goyal, K Singh, ...
INTERSPEECH 2022, 2021
Mls: A large-scale multilingual dataset for speech research
V Pratap, Q Xu, A Sriram, G Synnaeve, R Collobert
INTERSPEECH 2020, 2020
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
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, ...
ICML 2020 Workshop on Self-supervision in Audio and Speech, 2019
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
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, ...
INTERSPEECH 2021, 2021
Self-training and Pre-training are Complementary for Speech Recognition
Q Xu*, A Baevski*, T Likhomanenko, P Tomasello, A Conneau, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2020
Iterative pseudo-labeling for speech recognition
Q Xu, T Likhomanenko, J Kahn, A Hannun, G Synnaeve, R Collobert
INTERSPEECH 2020, 2020
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
INTERSPEECH 2019, 2019
Rethinking Evaluation in ASR: Are Our Models Robust Enough?
T Likhomanenko*, Q Xu*, V Pratap, P Tomasello, J Kahn, G Avidov, ...
INTERSPEECH 2021, 2020
Simple and effective zero-shot cross-lingual phoneme recognition
Q Xu, A Baevski, M Auli
INTERSPEECH 2022, 2021
Self-training for end-to-end speech translation
J Pino, Q Xu, X Ma, MJ Dousti, Y Tang
INTERSPEECH 2020, 2020
slimipl: Language-model-free iterative pseudo-labeling
T Likhomanenko, Q Xu, J Kahn, G Synnaeve, R Collobert
INTERSPEECH 2021, 2020
On the tool manipulation capability of open-source large language models
Q Xu, F Hong, B Li, C Hu, Z Chen, J Zhang
arXiv preprint arXiv:2305.16504, 2023
CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings
T Likhomanenko, Q Xu, R Collobert, G Synnaeve, A Rogozhnikov
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS), 2021
Scaling Up Online Speech Recognition Using ConvNets
V Pratap, Q Xu, J Kahn, G Avidov, T Likhomanenko, A Hannun, ...
INTERSPEECH 2020, 2020
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, ...
2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2021
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