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Sequence-to-sequence (seq2seq) approach for low-resource ASR is a relatively new direction in speech research.
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Mike Schuster and Kuldip K Paliwal, · 1997
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“Long short-term memory,”
Sepp Hochreiter and Jürgen Schmidhuber, · 1997
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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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“RNNLM-recurrent neural network language modeling toolkit,”
Tomas Mikolov, Stefan Kombrink, Anoop Deoras, Lukar Burget, and Jan Cernocky, · 2011
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“Supervised sequence labelling,”
Alex Graves, · 2012
Earlier work this paper cites.
“Sequence to sequence learning with neural networks,”
Ilya Sutskever, Oriol Vinyals, and Quoc V Le, · 2014
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“Neural machine translation by jointly learning to align and translate,”
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio, · 2014
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“Learning phrase representations using RNN encoder-decoder for statistical machine translation,”
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio, · 2014
Earlier work this paper cites.
“Towards end-to-end speech recognition with recurrent neural networks.,”
Alex Graves and Navdeep Jaitly, · 2014
Earlier work this paper cites.
“Automatic speech recognition for under-resourced languages: A survey,”
Laurent Besacier, Etienne Barnard, Alexey Karpov, and Tanja Schultz, · 2014
Earlier work this paper cites.
“Multilingual mrasta features for low-resource keyword search and speech recognition systems,”
Zoltan Tuske, David Nolden, Ralf Schluter, and Hermann Ney, · 2014
Earlier work this paper cites.
“Learning hidden unit contributions for unsupervised speaker adaptation of neural network acoustic models,”
Pawel Swietojanski and Steve Renals, · 2014
Cited alongside, same era.
“Very deep convolutional networks for large-scale image recognition,”
Karen Simonyan and Andrew Zisserman, · 2014
Cited alongside, same era.
“Adaptation of multilingual stacked bottle-neck neural network structure for new language,”
Frantisek Grézl, Martin Karafiát, and Karel Veselỳ, · 2014
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.
“Attention-based models for speech recognition,”
Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, Kyunghyun Cho, and Yoshua Bengio, · 2015
Cited alongside, same era.
“Listen, attend and spell: A neural network for large vocabulary conversational speech recognition,”
“Language adaptive multilingual CTC speech recognition,”
Markus Müller, Sebastian Stüker, and Alex Waibel, · 2017
Later among the works it cites.
“Language independent end-to-end architecture for joint language identification and speech recognition,”
Shinji Watanabe, Takaaki Hori, and John R Hershey, · 2017
Later among the works it cites.
“Hybrid CTC/attention architecture for end-to-end speech recognition,”
Shinji Watanabe, Takaaki Hori, Suyoun Kim, John R Hershey, and Tomoki Hayashi, · 2017
Later among the works it cites.
“Monotonic chunkwise attention,”
Chung-Cheng Chiu and Colin Raffel, · 2017
Later among the works it cites.
Takaaki Hori, Shinji Watanabe, Yu Zhang, and William Chan, · 2017
Later among the works it cites.
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William Chan, Navdeep Jaitly, Quoc Le, and Oriol Vinyals, · 2016
Cited alongside, same era.
“Multilingual blstm and speaker-specific vector adaptation in 2016 but babel system,”
Martin Karafiát, Murali Karthick Baskar, Pavel Matějka, Karel Veselỳ, František Grézl, and Jan Černocky, · 2016
Cited alongside, same era.
“Towards end-to-end speech recognition with deep convolutional neural networks,”
Ying Zhang, Mohammad Pezeshki, Philémon Brakel, Saizheng Zhang, César Laurent, Y Bengio, and Aaron Courville, · 2016
Cited alongside, same era.
“End-to-end speech recognition and keyword search on low-resource languages,”
Andrew Rosenberg, Kartik Audhkhasi, Abhinav Sethy, Bhuvana Ramabhadran, and Michael Picheny, · 2017
Cited alongside, same era.
“Multilingual training and cross-lingual adaptation on CTC-based acoustic model,”
Sibo Tong, Philip N Garner, and Hervé Bourlard, · 2017
Cited alongside, same era.
“An investigation of deep neural networks for multilingual speech recognition training and adaptation,”
Sibo Tong, Philip N Garner, and Hervé Bourlard, · 2017
Later among the works it cites.
“Sequence-based multi-lingual low resource speech recognition,”
Siddharth Dalmia, Ramon Sanabria, Florian Metze, and Alan W Black, · 2018
Closest in time.
“Multilingual speech recognition with a single end-to-end model,”
Shubham Toshniwal, Tara N Sainath, Ron J Weiss, Bo Li, Pedro Moreno, Eugene Weinstein, and Kanishka Rao, · 2018
Closest in time.
“Self-attentional acoustic models,”
Matthias Sperber, Jan Niehues, Graham Neubig, Sebastian Stüker, and Alex Waibel, · 2018
Closest in time.
“Espnet: End-to-end speech processing toolkit,”
Shinji Watanabe, Takaaki Hori, Shigeki Karita, Tomoki Hayashi, Jiro Nishitoba, Yuya Unno, Nelson Enrique Yalta Soplin, Jahn Heymann, Matthew Wiesner, Nanxin Chen, et al., · 2018
Closest in time.