Improving Audio-Visual Speech Recognition by Lip-Subword Correlation Based Visual Pre-training and Cross-Modal Fusion Encoder
Author:
Affiliation:
1. University of Science and Technology of China,Hefei,China
2. Alibaba Group,Hangzhou,China
3. Georgia Institute of Technology,Atlanta,USA
Funder
National Natural Science Foundation of China
Chinese Academy of Sciences
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10219544/10219545/10219701.pdf?arnumber=10219701
Reference41 articles.
1. A multi-channel/multi-speaker interactive 3D audio-visual speech corpus in Mandarin
2. Nara-wpe: A python package for weighted prediction error dereverberation in numpy and tensorflow for online and offline processing;drude;Speech Communication 13th ITG-Symposium VDE,2018
3. Robust Audio-Visual Mandarin Speech Recognition Based On Adaptive Decision Fusion And Tone Features
4. Audio–Visual Speech Recognition Based on Dual Cross-Modality Attentions with the Transformer Model
5. End-To-End Audio-Visual Speech Recognition with Conformers
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