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Building an accurate automatic speech recognition (ASR) system requires a large dataset that contains many hours of labeled speech samples produced by a diverse set of speakers.
A time-delay neural network architecture for isolated word recognition
Alexander Weibel, Toshiyki Hanazawa, Geoffrey Hinton, Kiyohiro Shirano, and kevin Lang. 1989 · 1989
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Deep neural networks for acoustic modeling in speech recognition
Geoffrey Hinton, Li Deng, Dong Yu, George Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Brian Kingsbury, and Tara Sainath. 2012 · 2012
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Deep speech: Scaling up end-to-end speech recognition
Awni Y. Hannun, Carl Case, Jared Casper, Bryan Catanzaro, Greg Diamos, Erich Elsen, Ryan Prenger, Sanjeev Satheesh, Shubho Sengupta, Adam Coates, and Andrew Y. Ng. 2014 · 2014
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Librispeech: an asr corpus based on public domain audio books
Vassil Panayotov, Guoguo Chen, Daniel Povey, and Sanjeev Khudanpur. 2015 · 2015
Earlier work this paper cites.
Using synthesized speech to improve speech recognition for low-resource languages
Luise Valentin Rygaard. 2015 · 2015
Earlier work this paper cites.
Improving neural machine translation models with monolingual data
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2015 · 2015
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Deep speech 2 : End-to-end speech recognition in english and mandarin
Dario Amodei, Rishita Anubhai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse Engel, Linxi Fan, Christopher Fougner, Awni Y. Hannun, Billy Jun, Tony Han, Patrick LeGresley, Xiangang Li, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Sheng Qian, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Chong Wang, Yi Wang, Zhiqian Wang, Bo Xiao, Yan Xie, Dani Yogatama, Jun Zhan, and Zhenyao Zhu. 2016 · 2016
Cited alongside, same era.
Wav2letter: an end-to-end convnet-based speech recognition system
Ronan Collobert, Christian Puhrsch, and Gabriel Synnaeve. 2016 · 2016
Cited alongside, same era.
Wavenet: A generative model for raw audio
Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, and Koray Kavukcuoglu. 2016 · 2016
Cited alongside, same era.
The CAPIO 2017 conversational speech recognition system
Kyu J. Han, Akshay Chandrashekaran, Jungsuk Kim, and Ian R. Lane. 2018 · 2017
The M-AILABS Speech Dataset
M-AILABS. 2018 · 2018
Closest in time.
Semi-orthogonal low-rank matrix factorization for deep neural networks
Daniel Povey, Gaofeng Cheng, Yiming Wang, Ke Li, Hainan Xu, Mahsa Yarmohammadi, and Sanjeev Khudanpur. 2018 · 2018
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Natural tts synthesis by conditioning wavenet on mel spectrogram predictions
Jonathan Shen, Ruoming Pang, Ron J Weiss, Mike Schuster, Navdeep Jaitly, Zongheng Yang, Zhifeng Chen, Yu Zhang, Yuxuan Wang, Rj Skerrv-Ryan, et al. 2018 · 2018
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Style tokens: Unsupervised style modeling, control and transfer in end-to-end speech synthesis
Yuxuan Wang, Daisy Stanton, Yu Zhang, R. J. Skerry-Ryan, Eric Battenberg, Joel Shor, Ying Xiao, Fei Ren, Ye Jia, and Rif A. Saurous. 2018 · 2018
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Improved training of end-to-end attention models for speech recognition
Albert Zeyer, Kazuki Irie, Ralf Schlüter, and Hermann Ney. 2018 · 2018
Closest in time.
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Cited alongside, same era.
Oleksii Kuchaiev, Boris Ginsburg, Igor Gitman, Vitaly Lavrukhin, Carl Case, and Paulius Micikevicius. 2018 · 2018
Cited alongside, same era.