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Recent Advances in End-to-End Automatic Speech Recognition

Recent Advances in End-to-End Automatic Speech Recognition

2 November 2021
Jinyu Li
    VLM
ArXivPDFHTML

Papers citing "Recent Advances in End-to-End Automatic Speech Recognition"

5 / 55 papers shown
Title
Emformer: Efficient Memory Transformer Based Acoustic Model For Low
  Latency Streaming Speech Recognition
Emformer: Efficient Memory Transformer Based Acoustic Model For Low Latency Streaming Speech Recognition
Yangyang Shi
Yongqiang Wang
Chunyang Wu
Ching-Feng Yeh
Julian Chan
Frank Zhang
Duc Le
M. Seltzer
49
168
0
21 Oct 2020
Pushing the Limits of Semi-Supervised Learning for Automatic Speech
  Recognition
Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition
Yu Zhang
James Qin
Daniel S. Park
Wei Han
Chung-Cheng Chiu
Ruoming Pang
Quoc V. Le
Yonghui Wu
VLM
SSL
143
308
0
20 Oct 2020
Minimum Bayes Risk Training of RNN-Transducer for End-to-End Speech
  Recognition
Minimum Bayes Risk Training of RNN-Transducer for End-to-End Speech Recognition
Chao Weng
Chengzhu Yu
Jia Cui
Chunlei Zhang
Dong Yu
69
39
0
28 Nov 2019
Transformer ASR with Contextual Block Processing
Transformer ASR with Contextual Block Processing
E. Tsunoo
Yosuke Kashiwagi
Toshiyuki Kumakura
Shinji Watanabe
51
64
0
16 Oct 2019
Listening while Speaking: Speech Chain by Deep Learning
Listening while Speaking: Speech Chain by Deep Learning
Andros Tjandra
S. Sakti
Satoshi Nakamura
AuLLM
118
165
0
16 Jul 2017
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