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In this paper, we propose a domain adversarial training (DAT) algorithm to alleviate the accented speech recognition problem.
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Christopher J Leggetter and Philip C Woodland, · 1995
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L. Lamel, J.-L. Gauvain, and G. Adda, · 2002
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J. Ma, S. Matsoukas, O. Kimball, and R. Schwartz, · 2006
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L. Wang, M. J. F. Gales, and P. C. Woodland, · 2007
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Thiago Fraga-Silva, Jean-Luc Gauvain, and Lori Lamel, · 2011
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“The Kaldi speech recognition toolkit,”
Daniel Povey, Arnab Ghoshal, Gilles Boulianne, Lukas Burget, Ondrej Glembek, Nagendra Goel, Mirko Hannemann, Petr Motlicek, Yanmin Qian, Petr Schwarz, et al., · 2011
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“Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups,”
Geoffrey Hinton, Li Deng, Dong Yu, George E Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara N Sainath, et al., · 2012
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“Generative adversarial nets,”
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio, · 2014
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“Unsupervised domain adaptation by backpropagation,”
Yaroslav Ganin and Victor Lempitsky, · 2015
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“Towards acoustic model unification across dialects,”
Austin Waters, Meysam Bastani, Mohamed G. Elfeky, Pedro Moreno, and Xavier Velez, · 2016
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“Adversarial multi-task learning of deep neural networks for robust speech recognition,”
Yusuke Shinohara, · 2016
Cited alongside, same era.
“Invariant representations for noisy speech recognition,”
Dmitriy Serdyuk, Kartik Audhkhasi, Philémon Brakel, Bhuvana Ramabhadran, Samuel Thomas, and Yoshua Bengio, · 2016
Cited alongside, same era.
“Domain-adversarial training of neural networks,”
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, and Victor Lempitsky, · 2016
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“Adversarial discriminative domain adaptation,”
Eric Tzeng, Judy Hoffman, Kate Saenko, and Trevor Darrell, · 2017
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“Domain adaptation with randomized multilinear adversarial networks,”
Mingsheng Long, Zhangjie Cao, Jianmin Wang, and Michael I Jordan, · 2017
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“An unsupervised deep domain adaptation approach for robust speech recognition,”
Sining Sun, Binbin Zhang, Lei Xie, and Yanning Zhang, · 2017
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“Large-scale domain adaptation via teacher-student learning,”
Jinyu Li, Michael L Seltzer, Xi Wang, Rui Zhao, and Yifan Gong, · 2017
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Daniel Povey, Vijayaditya Peddinti, Daniel Galvez, Pegah Ghahremani, Vimal Manohar, Xingyu Na, Yiming Wang, and Sanjeev Khudanpur, · 2016
Cited alongside, same era.
“Semi-supervised training in deep learning acoustic model,”
Yan Huang, Yongquiang Wang, and Yifan Gong, · 2016
Cited alongside, same era.
“Domain adaptation of dnn acoustic models using knowledge distillation,”
Taichi Asami, Ryo Masumura, Yoshikazu Yamaguchi, Hirokazu Masataki, and Yushi Aono, · 2017
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“Multiple source domain adaptation with adversarial training of neural networks,”
Han Zhao, Shanghang Zhang, Guanhang Wu, João P Costeira, José MF Moura, and Geoffrey J Gordon, · 2017
Later among the works it cites.