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Streaming automatic speech recognition (ASR) aims to emit each hypothesized word as quickly and accurately as possible, while full-context ASR waits for the completion of a full speech utterance before emitting completed hypotheses.
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Librispeech: an asr corpus based on public domain audio books
Vassil Panayotov, Guoguo Chen, Daniel Povey, and Sanjeev Khudanpur · 2015
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Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N Dauphin · 2017
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Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger · 2017
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Online and Linear-Time Attention by Enforcing Monotonic Alignments
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Prajit Ramachandran, Barret Zoph, and Quoc V Le · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Hybrid ctc/attention architecture for end-to-end speech recognition
Shinji Watanabe, Takaaki Hori, Suyoun Kim, John R Hershey, and Tomoki Hayashi · 2017
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Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia X Chen, Ye Jia, Anjuli Kannan, Tara Sainath, Yuan Cao, Chung-Cheng Chiu, et al · 2019
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Towards online end-to-end transformer automatic speech recognition
Emiru Tsunoo, Yosuke Kashiwagi, Toshiyuki Kumakura, and Shinji Watanabe · 2019
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Transformer-transducer: End-to-end speech recognition with self-attention
Ching-Feng Yeh, Jay Mahadeokar, Kaustubh Kalgaonkar, Yongqiang Wang, Duc Le, Mahaveer Jain, Kjell Schubert, Christian Fuegen, and Michael L Seltzer · 2019
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Low latency speech recognition using end-to-end prefetching
Shuo-Yiin Chang, Bo Li, David Rybach, Yanzhang He, Wei Li, Tara Sainath, and Trevor Strohman · 2020
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Conformer: Convolution-augmented transformer for speech recognition
Anmol Gulati, James Qin, Chung-Cheng Chiu, Niki Parmar, Yu Zhang, Jiahui Yu, Wei Han, Shibo Wang, Zhengdong Zhang, Yonghui Wu, et al · 2020
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Wei Han, Zhengdong Zhang, Yu Zhang, Jiahui Yu, Chung-Cheng Chiu, James Qin, Anmol Gulati, Ruoming Pang, and Yonghui Wu · 2020
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Conv-transformer transducer: Low latency, low frame rate, streamable end-to-end speech recognition
Wenyong Huang, Wenchao Hu, Yu Ting Yeung, and Xiao Chen · 2020
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Towards fast and accurate streaming end-to-end asr
Bo Li, Shuo-yiin Chang, Tara N Sainath, Ruoming Pang, Yanzhang He, Trevor Strohman, and Yonghui Wu · 2020
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Transformer-based online ctc/attention end-to-end speech recognition architecture
Haoran Miao, Gaofeng Cheng, Changfeng Gao, Pengyuan Zhang, and Yonghong Yan · 2020
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Streaming automatic speech recognition with the transformer model
Niko Moritz, Takaaki Hori, and Jonathan Le · 2020
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Cascaded encoders for unifying streaming and non-streaming asr
Arun Narayanan, Tara N Sainath, Ruoming Pang, Jiahui Yu, Chung-Cheng Chiu, Rohit Prabhavalkar, Ehsan Variani, and Trevor Strohman · 2020
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Efficient knowledge distillation for rnn-transducer models
Sankaran Panchapagesan, Daniel S Park, Chung-Cheng Chiu, Yuan Shangguan, Qiao Liang, and Alexander Gruenstein · 2020
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A streaming on-device end-to-end model surpassing server-side conventional model quality and latency
Tara N Sainath, Yanzhang He, Bo Li, Arun Narayanan, Ruoming Pang, Antoine Bruguier, Shuo-yiin Chang, Wei Li, Raziel Alvarez, Zhifeng Chen, et al · 2020
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Streaming transformer asr with blockwise synchronous inference
Emiru Tsunoo, Yosuke Kashiwagi, and Shinji Watanabe · 2020
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Low latency end-to-end streaming speech recognition with a scout network
Chengyi Wang, Yu Wu, Shujie Liu, Jinyu Li, Liang Lu, Guoli Ye, and Ming Zhou · 2020
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Dynamic sparsity neural networks for automatic speech recognition
Zhaofeng Wu, Ding Zhao, Qiao Liang, Jiahui Yu, Anmol Gulati, and Ruoming Pang · 2020
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Bignas: Scaling up neural architecture search with big single-stage models
Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas Huang, Xiaodan Song, Ruoming Pang, and Quoc Le · 2020
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Transformer transducer: A streamable speech recognition model with transformer encoders and rnn-t loss
Qian Zhang, Han Lu, Hasim Sak, Anshuman Tripathi, Erik McDermott, Stephen Koo, and Shankar Kumar · 2020
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