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In this work, we propose a novel and efficient minimum word error rate (MWER) training method for RNN-Transducer (RNN-T).
A. Graves, S. Fernández, F. Gomez, and J. Schmidhuber, “Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks,” in
2006
Earlier work this paper cites.
A. Graves, “Sequence transduction with recurrent neural networks,”
2012
Earlier work this paper cites.
M. Schuster and K. Nakajima, “Japanese and korean voice search,” in
2012
Earlier work this paper cites.
K. Veselỳ, A. Ghoshal, L. Burget, and D. Povey, “Sequence-discriminative training of deep neural networks.” in
2013
Earlier work this paper cites.
A. Graves and N. Jaitly, “Towards end-to-end speech recognition with recurrent neural networks,” in
2015
Earlier work this paper cites.
D. P. Kingma and J. Ba, “Adam: A method for stochastic optimization,” in
2015
Earlier work this paper cites.
W. Chan, N. Jaitly, Q. Le, and O. Vinyals, “Listen, attend and spell: A neural network for large vocabulary conversational speech recognition,” in
2016
Cited alongside, same era.
K. Rao, H. Sak, and R. Prabhavalkar, “Exploring architectures, data and units for streaming end-to-end speech recognition with rnn-transducer,” in
2017
Cited alongside, same era.
M. Shannon, “Optimizing expected word error rate via sampling for speech recognition,” in
2017
Cited alongside, same era.
H. Sak, M. Shannon, K. Rao, and et al, “Recurrent neural aligner: An encoder-decoder neural network model for sequence to sequence mapping,” in
2017
Cited alongside, same era.
R. Prabhavalkar, T. N. Sainath, Y. Wu, and et al, “Minimum word error rate training for attention-based sequence-to-sequence models,” in
2018
Cited alongside, same era.
Y. He, T. N. Sainath, R. Prabhavalkar, I. McGraw, R. Alvarez, D. Zhao, D. Rybach, A. Kannan, Y. Wu, R. Pang
2019
Later among the works it cites.
2019
Later among the works it cites.
2019
Later among the works it cites.
S.-Y. Chang, R. Prabhavalkar, Y. He, T. N. Sainath, and G. Simko, “Joint endpointing and decoding with end-to-end models,” in
2019
Later among the works it cites.
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M. X. Chen, O. Firat, A. Bapna, and et al, “The best of both worlds: Combining recent advances in neural machine translation,” in
2018
Cited alongside, same era.
2020
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