Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

Japanese and Korean Voice Search

M. Schuster and K. Nakajima · 2012

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Neural Machine Translation of Rare Words with Subword Units, 2015

R. Sennrich, B. Haddow, and A. Birch · 2015

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Google’s Neural Machine Translation system: Bridging the gap between human and machine translation

Original

Y. Wu, M. Schuster, Z. Chen, Q. V. Le, M. Norouzi, W. Macherey, M. Krikun, Y. Cao, Q. Gao, K. Macherey, J. Klingner, A. Shah, M. Johnson, X. Liu, L. Kaiser, S. Gouws, Y. Kato, T. Kudo, H. Kazawa, K. Stevens, G. Kurian, N. Patil, W. Wang, C. Young, J. Smith, J. Riesa, A. Rudnick, O. Vinyals, G. Corrado, M. Hughes, and J. Dean · 2016

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Sequence-to-sequence models can directly translate foreign speech

Ron J. Weiss, Jan Chorowski, Navdeep Jaitly, Yonghui Wu, and Zhifeng Chen · 2017

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Sequence-to-Sequence Models Can Directly Translate Foreign Speech

R. J. Weiss, J. Chorowski J, N. Jaitly, Y. Wu, and Z. Chen · 2017

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The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation

M. X. Chen, O. Firat, A.Bapna, M. Johnson, W. Macherey, G. Fosterand L. Jones, M. Schuster, N. Shazeer, N. Parmar, A. Vaswani, J. Uszkoreit, L. Kaiser, Z. Chen, Y. Wu, and M. Hughes · 2018

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Monotonic Chunkwise Attention

C. C. Chiu and C. Raffel · 2018

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State-of-the-art Speech Recognition With Sequence-to-Sequence Models

C. C. Chiu, T. N. Sainath, Y. Wu, R. Prabhavalkar, P. Nguyen, Z. Chen, A. Kannan, R. J. Weiss, K. Rao, E. Gonina, N. Jaitly, B. Li, J. Chorowski, and M. Bacchiani · 2018

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Speech recognition for medical conversations

C. C. Chiu, A. Tripathi, K. Chou, C. Co, N. Jaitly, D. Jaunzeikare, A. Kannan, P. Nguyen, H. Sak, A. Sankar, J. Tansuwan, N. Wan, Y. Wu, and X. Zhang · 2018

Cited alongside, same era.

Hierarchical generative modeling for controllable speech synthesis

Original

W. N. Hsu, Y. Zhang, R. J. Weiss, H. Zen, Y. Wu, Y. Wang, Y. Cao, Y. Jia, Z. Chen, J. Shen, et al · 2018

Cited alongside, same era.

Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis

Y. Jia, Y. Zhang, R. J. Weiss, Q. Wang, J. Shen, F. Ren, Z. Chen, P. Nguyen, R. Pang, I. Lopez-Moreno, and Y. Wu · 2018

Cited alongside, same era.

Leveraging weakly supervised data to improve end-to-end speech-to-text translation

Original

Ye Jia, Melvin Johnson, Wolfgang Macherey, Ron J Weiss, Yuan Cao, Chung-Cheng Chiu, Naveen Ari, Stella Laurenzo, and Yonghui Wu · 2018

Cited alongside, same era.

An analysis of incorporating an external language model into a sequence-to-sequence model

Compression of End-to-End Models

R. Pang, T. N. Sainath, R. Prabhavalkar, S. Gupta, Y. Wu, S. Zhang, and C. C. Chiu · 2018

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Minimum Word Error Rate Training for Attention-based Sequence-to-sequence Models

R. Prabhavalkar, T. N. Sainath, Y. Wu, P. Nguyen, Z. Chen, C. C. Chiu, and A. Kannan · 2018

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Improving the Performance of Online Neural Transducer Models

T. N. Sainath, C. C. Chiu, R. Prabhavalkar, A. Kannan, Y. Wu, P. Nguyen, and Z. Chen Z · 2018

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No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models

T. N. Sainath, P. Prabhavalkar, S. Kumar, S. Lee, A. Kannan, D. Rybach, V. Schogol, P. Nguyen, B. Li, Y. Wu, Z. Chen, and C. C. Chiu · 2018

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Natural TTS Synthesis By Conditioning WaveNet on Mel Spectrogram Predictions

J. Shen, R. Pang, R. J. Weiss, M. Schuster, N. Jaitly, Z. Yang, Z. Chen, Y. Zhang, Y. Wang, R. J. Skerry-Ryan, R. A. Saurous, Y. Agiomyrgiannakis, and Y. Wu · 2018

Later among the works it cites.