Multi-Stage Audio-Visual Fusion for Dysarthric Speech Recognition With Pre-Trained Models
Author:
Affiliation:
1. School of Artificial Intelligence, Beijing Technology and Business University, Beijing, China
Funder
Humanity and Social Science Youth Foundation of Ministry of Education of China
Humanities and Social Sciences Research Planning Fund of the Ministry of Education of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation
Link
http://xplorestaging.ieee.org/ielx7/7333/10031624/10081405.pdf?arnumber=10081405
Reference43 articles.
1. Cross-Domain Deep Visual Feature Generation for Mandarin Audio–Visual Speech Recognition
2. Unsupervised learning of visual features by contrasting cluster assignments;caron;Proc Adv Neural Inf Process Syst,2020
3. Recent Progress in the CUHK Dysarthric Speech Recognition System
4. Learning representations by maximizing mutual information across views;bachman;Proc Adv Neural Inf Process Syst,2019
5. Three-dimensional linear articulatory modeling of tongue, lips and face, based on MRI and video images
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