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31
Weighted finite-state transducers in speech recognition
M. Mohri, F. Pereira, M. Riley
Computer Speech & Language, 2002
32
Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups
G. Hinton et al.
IEEE Signal Processing Magazine, 2012.11
33
Connectionist temporal classification: Labelling unsegmented sequence data with recurrent neural networks
A. Graves, S. Fernández, F. Gomez, J. Schmidhuber
Proceedings of the 23rd International Conference on Machine Learning (ICML), 2006.06
34
Sequence transduction with recurrent neural networks
A. Graves
Workshop on Representation Learning, 30th International Conference on Machine Learning (ICML), 2012.06
35
Listen, attend and spell: A neural network for large vocabulary conversational speech recognition
W. Chan, N. Jaitly, Q. V. Le, O. Vinyals
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016.03
36
wav2vec: Unsupervised pre-training for speech recognition
S. Schneider, A. Baevski, J. Collobert, M. Auli
Proceedings of Interspeech 2019, 2019.09
37
wav2vec 2.0: A framework for self-supervised learning of speech representations
A. Baevski, Y. Zhou, A. Mohamed, M. Auli
Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020
38
Conformer: Convolution-augmented transformer for speech recognition
A. Gulati et al.
Proceedings of Interspeech 2020, 2020.10
39
HuBERT: Self-supervised speech representation learning by masked prediction of hidden units
W.-N. Hsu, B. Bolte, Y.-H. H. Tsai, K. Lakhotia, R. Salakhutdinov, A. Mohamed
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2021.10
40
Gradient-based learning applied to document recognition
Y. LeCun, L. Bottou, Y. Bengio, P. Haffner
Proceedings of the IEEE, 1998.11
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