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We study training a single acoustic model for multiple languages with the aim of improving automatic speech recognition (ASR) performance on low-resource languages, and over-all simplifying deployment of ASR systems that support diverse languages.
2007
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L. v. d. Maaten and G. Hinton, “Visualizing data using t-sne,”
2008
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H. Lin, L. Deng, D. Yu, Y.-f. Gong, A. Acero, and C.-H. Lee, “A study on multilingual acoustic modeling for large vocabulary asr,” in
2009
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Y. Bengio, J. Louradour, R. Collobert, and J. Weston, “Curriculum learning,” in
2009
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L. Burget, P. Schwarz, M. Agarwal, P. Akyazi, K. Feng, A. Ghoshal, O. Glembek, N. Goel, M. Karafiát, D. Povey
2010
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H. Bourlard, J. Dines, M. Magimai-Doss, P. N. Garner, D. Imseng, P. Motlicek, H. Liang, L. Saheer, and F. Valente, “Current trends in multilingual speech processing,”
2011
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A. Graves, “Sequence transduction with recurrent neural networks,”
2012
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G. Heigold, V. Vanhoucke, A. Senior, P. Nguyen, M. Ranzato, M. Devin, and J. Dean, “Multilingual acoustic models using distributed deep neural networks,” in
2013
Cited alongside, same era.
K. Chen and Q. Huo, “Scalable training of deep learning machines by incremental block training with intra-block parallel optimization and blockwise model-update filtering,” in
2016
Cited alongside, same era.
J. Cho, M. K. Baskar, R. Li, M. Wiesner, S. H. Mallidi, N. Yalta, M. Karafiat, S. Watanabe, and T. Hori, “Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling,” in
2018
Cited alongside, same era.
S. Toshniwal, T. N. Sainath, R. J. Weiss, B. Li, P. Moreno, E. Weinstein, and K. Rao, “Multilingual speech recognition with a single end-to-end model,” in
2018
Cited alongside, same era.
D. S. Park, W. Chan, Y. Zhang, C.-C. Chiu, B. Zoph, E. D. Cubuk, and Q. V. Le, “Specaugment: A simple data augmentation method for automatic speech recognition,”
2019
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2019
Later among the works it cites.
O. Adams, M. Wiesner, S. Watanabe, and D. Yarowsky, “Massively multilingual adversarial speech recognition.” Minneapolis, Minnesota: Association for Computational Linguistics, Jun. 2019, pp. 96–108
2019
Later among the works it cites.
A. Hannun, A. Lee, Q. Xu, and R. Collobert, “Sequence-to-sequence speech recognition with time-depth separable convolutions,” in
2019
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A. Conneau and G. Lample, “Cross-lingual language model pretraining,” in
2019
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2018
Cited alongside, same era.
A. Kannan, A. Datta, T. N. Sainath, E. Weinstein, B. Ramabhadran, Y. Wu, A. Bapna, Z. Chen, and S. Lee, “Large-scale multilingual speech recognition with a streaming end-to-end model,”
2019
Cited alongside, same era.
B. Li, Y. Zhang, T. Sainath, Y. Wu, and W. Chan, “Bytes are all you need: End-to-end multilingual speech recognition and synthesis with bytes,” in
2019
Cited alongside, same era.
V. Pratap, A. Hannun, Q. Xu, J. Cai, J. Kahn, G. Synnaeve, V. Liptchinsky, and R. Collobert, “Wav2letter++: A fast open-source speech recognition system,” in
2019
Later among the works it cites.