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This paper presents methods to accelerate recurrent neural network based language models (RNNLMs) for online speech recognition systems.
“A neural probabilistic language model,”
Y. Bengio, R. Ducharme, P. Vincent, and C. Jauvin, · 2003
Earlier work this paper cites.
“Recurrent neural network based language model,”
T. Mikolov, M. Karafiat, L. Burget, J. Cernocky, and S. Khudanpur, · 2010
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“Recurrent neural network based language modeling in meeting recognition,”
S. Kombrink, T. Mikolov, M. Karafiat, and L. Burget, · 2011
Earlier work this paper cites.
“Strategies for training large scale neural network language models,”
T. Mikolov, A. Deoras, D. Povey, L. Burget, and J. Cernocký, · 2011
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“Conversion of recurrent neural network language models to weighted finite state transducers for automatic speech recognition,”
L. Gwnol and M. Petr, · 2012
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“Efficient on-the-fly hypothesis rescoring in a hybrid gpu/cpu-based large vocabulary continuous speech recognition engine,”
J. Kim, J. Chong, and I. Lane, · 2012
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“Noise-contrastive estimation of unnormalized statistical models, with applications to natural image statistics,”
M. Gutmann and A. Hyvärinen, · 2012
Cited alongside, same era.
“Prefix tree based n-best list re-scoring for recurrent neural network language model used in speech recognition system,”
Y. Si, Q. Zhang, T. Li, J. Pan, and Y. Yan, · 2013
Cited alongside, same era.
“Multi-domain recurrent neural network language model for medical speech recognition,”
O. Tilk and T. Alumäe, · 2014
Cited alongside, same era.
“Converting neural network language models into back-off language models for efficient decoding in automatic speech recognition,”
E. Arisoy, S. Chen, B. Ramabhadran, and A. Sethy, · 2014
Cited alongside, same era.
“Real-time one-pass decoding with recurrent neural network language model for speech recognition,”
T. Hori, Y. Kubo, and A. Nakamura, · 2014
Cited alongside, same era.
“Efficient gpu-based training of recurrent neural network language models using spliced sentence bunch,”
X. Chen, Y. Wang, X. Liu, M. Gales, and P. Woodland, · 2014
Later among the works it cites.
“Empirical evaluation of gated recurrent neural networks on sequence modeling,”
J. Chung, Ç. Gülçehre, K. Cho, and Y. Bengio, · 2014
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“Applying gpgpu to recurrent neural network language model based fast network search in the real-time lvcsr,”
K. Lee, C. Park, I. Kim, N. Kim, and J. Lee, · 2015
Later among the works it cites.
“Recurrent neural network language model training with noise contrastive estimation for speech recognition,”
X. Chen, X. Liu, M. Gales, and P. Woodland, · 2015
Later among the works it cites.
“Librispeech: An ASR corpus based on public domain audio books,”
V. Panayotov, G. Chen, D. Povey, and S. Khudanpur, · 2015
Later among the works it cites.
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“Cache based recurrent neural network language model inference for first pass speech recognition,”
Z. Huang, G. Zweig, and B. Dumoulin, · 2014
Cited alongside, same era.
“Two efficient lattice rescoring methods using recurrent neural network language models,”
X. Liu, X. Chen, Y. Wang, M. Gales, and P. Woodland, · 2016
Later among the works it cites.