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Bridging the gap between streaming and non-streaming ASR systems
  bydistilling ensembles of CTC and RNN-T models

Bridging the gap between streaming and non-streaming ASR systems bydistilling ensembles of CTC and RNN-T models

25 April 2021
Thibault Doutre
Wei Han
Chung-Cheng Chiu
Ruoming Pang
Olivier Siohan
Liangliang Cao
ArXivPDFHTML

Papers citing "Bridging the gap between streaming and non-streaming ASR systems bydistilling ensembles of CTC and RNN-T models"

3 / 3 papers shown
Title
Exploring Attention Map Reuse for Efficient Transformer Neural Networks
Exploring Attention Map Reuse for Efficient Transformer Neural Networks
Kyuhong Shim
Jungwook Choi
Wonyong Sung
ViT
17
3
0
29 Jan 2023
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
141
308
0
20 Oct 2020
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
1