Fetching the paper…
Reading the bibliography…
We study the possibilities of building a non-autoregressive speech-to-text translation model using connectionist temporal classification (CTC), and use CTC-based automatic speech recognition as an auxiliary task to improve the performance.
Unsupervised cross-lingual representation learning at scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1911
Earlier work this paper cites.
Guiding non-autoregressive neural machine translation decoding with reordering information
Qiu Ran, Yankai Lin, Peng Li, and Jie Zhou. 2019 · 1911
Earlier work this paper cites.
A new measure of rank correlation
Maurice G Kendall. 1938 · 1938
Earlier work this paper cites.
Imputer: Sequence modelling via imputation and dynamic programming
William Chan, Chitwan Saharia, Geoffrey Hinton, Mohammad Norouzi, and Navdeep Jaitly. 2020 · 2002
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Masoud Jalili Sabet, Philipp Dufter, and Hinrich Schütze. 2020 · 2004
Earlier work this paper cites.
Non-autoregressive machine translation with latent alignments
Chitwan Saharia, William Chan, Saurabh Saxena, and Mohammad Norouzi. 2020 · 2004
Earlier work this paper cites.
Speech translation and the end-to-end promise: Taking stock of where we are
Matthias Sperber and Matthias Paulik. 2020 · 2004
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 · 2006
Earlier work this paper cites.
Orthros: Non-autoregressive end-to-end speech translation with dual-decoder
Hirofumi Inaguma, Yosuke Higuchi, Kevin Duh, Tatsuya Kawahara, and Shinji Watanabe. 2020 · 2010
Earlier work this paper cites.
Reordering metrics for mt
Alexandra Birch and Miles Osborne. 2011 · 2011
Earlier work this paper cites.
Listen and translate: A proof of concept for end-to-end speech-to-text translation
Alexandre Bérard, Olivier Pietquin, Christophe Servan, and Laurent Besacier. 2016 · 2016
Cited alongside, same era.
Sequence-level knowledge distillation
Yoon Kim and Alexander M Rush. 2016 · 2016
Cited alongside, same era.
Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Sequence-to-sequence models can directly translate foreign speech
Ron J Weiss, Jan Chorowski, Navdeep Jaitly, Yonghui Wu, and Zhifeng Chen. 2017 · 2017
Cited alongside, same era.
End-to-end speech translation with the transformer
Laura-Cross Vila, Carlos Escolano, José AR Fonollosa, and Marta-R Costa-Jussà. 2018 · 2018
Later among the works it cites.
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 · 2018
Later among the works it cites.
Adapting transformer to end-to-end spoken language translation
Mattia A Di Gangi, Matteo Negri, and Marco Turchi. 2019 · 2019
Later among the works it cites.
Mask-predict: Parallel decoding of conditional masked language models
Marjan Ghazvininejad, Omer Levy, Yinhan Liu, and Luke Zettlemoyer. 2019 · 2019
Later among the works it cites.
Levenshtein transformer
Jiatao Gu, Changhan Wang, and Junbo Zhao. 2019 · 2019
Later among the works it cites.
Specaugment: A simple data augmentation method for automatic speech recognition
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Yu Zhang and Qiang Yang. 2017 · 2017
Cited alongside, same era.
Tied multitask learning for neural speech translation
Antonios Anastasopoulos and David Chiang. 2018 · 2018
Cited alongside, same era.
End-to-end automatic speech translation of audiobooks
Alexandre Bérard, Laurent Besacier, Ali Can Kocabiyikoglu, and Olivier Pietquin. 2018 · 2018
Cited alongside, same era.
Non-autoregressive neural machine translation
Jiatao Gu, James Bradbury, Caiming Xiong, Victor OK Li, and Richard Socher. 2018 · 2018
Cited alongside, same era.
Deterministic non-autoregressive neural sequence modeling by iterative refinement
Jason Lee, Elman Mansimov, and Kyunghyun Cho. 2018 · 2018
Cited alongside, same era.
End-to-end non-autoregressive neural machine translation with connectionist temporal classification
Jindřich Libovickỳ and Jindřich Helcl. 2018 · 2018
Cited alongside, same era.
Daniel S Park, William Chan, Yu Zhang, Chung-Cheng Chiu, Barret Zoph, Ekin D Cubuk, and Quoc V Le. 2019 · 2019
Later among the works it cites.
Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation
Matthias Sperber, Graham Neubig, Jan Niehues, and Alex Waibel. 2019 · 2019
Later among the works it cites.
Insertion transformer: Flexible sequence generation via insertion operations
Mitchell Stern, William Chan, Jamie Kiros, and Jakob Uszkoreit. 2019 · 2019
Later among the works it cites.
Worse WER, but better BLEU? leveraging word embedding as intermediate in multitask end-to-end speech translation
Shun-Po Chuang, Tzu-Wei Sung, Alexander H. Liu, and Hung-yi Lee. 2020 · 2020
Later among the works it cites.
Transformer-based direct speech-to-speech translation with transcoder
Takatomo Kano, Sakriani Sakti, and Satoshi Nakamura. 2021 · 2021
Closest in time.