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End-to-end approaches have drawn much attention recently for significantly simplifying the construction of an automatic speech recognition (ASR) system.
“A tutorial on hidden markov models and selected applications in speech recognition,”
Lawrence R Rabiner, · 1989
Earlier work this paper cites.
“Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks,”
Alex Graves, Santiago Fernández, Faustino Gomez, and Jürgen Schmidhuber, · 2006
Earlier work this paper cites.
“Sequence labelling in structured domains with hierarchical recurrent neural networks,”
Santiago Fernández, Alex Graves, and Jürgen Schmidhuber, · 2007
Earlier work this paper cites.
“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
Earlier work this paper cites.
“Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition,”
George E Dahl, Dong Yu, Li Deng, and Alex Acero, · 2012
Earlier work this paper cites.
“Sequence transduction with recurrent neural networks,”
Alex Graves, · 2012
Earlier work this paper cites.
“Generating sequences with recurrent neural networks,”
Alex Graves, · 2013
Earlier work this paper cites.
“Speech recognition with deep recurrent neural networks,”
Alex Graves, Abdel-rahman Mohamed, and Geoffrey Hinton, · 2013
Earlier work this paper cites.
“Long short-term memory recurrent neural network architectures for large scale acoustic modeling,”
Haşim Sak, Andrew Senior, and Françoise Beaufays, · 2014
Cited alongside, same era.
“Neural machine translation by jointly learning to align and translate,”
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio, · 2014
Cited alongside, same era.
“End-to-end continuous speech recognition using attention-based recurrent nn: first results,”
Jan Chorowski, Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio, · 2014
Cited alongside, same era.
“Towards end-to-end speech recognition with recurrent neural networks,”
Alex Graves and Navdeep Jaitly, · 2014
Cited alongside, same era.
“Convolutional, long short-term memory, fully connected deep neural networks,”
Tara N Sainath, Oriol Vinyals, Andrew Senior, and Haşim Sak, · 2015
Cited alongside, same era.
“Fast and accurate recurrent neural network acoustic models for speech recognition,”
Haşim Sak, Andrew Senior, Kanishka Rao, and Françoise Beaufays, · 2015
Later among the works it cites.
“Eesen: End-to-end speech recognition using deep rnn models and wfst-based decoding,”
Yajie Miao, Mohammad Gowayyed, and Florian Metze, · 2015
Later among the works it cites.
“End-to-end attention-based large vocabulary speech recognition,”
Dzmitry Bahdanau, Jan Chorowski, Dmitriy Serdyuk, Philemon Brakel, and Yoshua Bengio, · 2016
Later among the works it cites.
“Listen, attend and spell: A neural network for large vocabulary conversational speech recognition,”
William Chan, Navdeep Jaitly, Quoc Le, and Oriol Vinyals, · 2016
Later among the works it cites.
“Attention-based end-to-end speech recognition on voice search,”
Changhao Shan, Junbo Zhang, Yujun Wang, and Lei Xie, · 2017
Later among the works it cites.
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“A neural attention model for abstractive sentence summarization,”
Alexander M Rush, Sumit Chopra, and Jason Weston, · 2015
Cited alongside, same era.
“Attention-based models for speech recognition,”
Jan K Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, Kyunghyun Cho, and Yoshua Bengio, · 2015
Cited alongside, same era.
“Exploring architectures, data and units for streaming end-to-end speech recognition with rnn-transducer,”
Kanishka Rao, Haşim Sak, and Rohit Prabhavalkar, · 2017
Later among the works it cites.
“Show, attend and tell: Neural image caption generation with visual attention,”
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel, and Yoshua Bengio, · 2057
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