A New Method for Predicting Severity Level of Dysarthric Speech Based on Joint Feature-Sample Selection using Audio-Visual Data-Reference-Cited by-同舟云学术

A New Method for Predicting Severity Level of Dysarthric Speech Based on Joint Feature-Sample Selection using Audio-Visual Data

Published:2022-10-27 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Asian Language Processing (IALP)
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Author:

Lu Shangjun¹,Du Xiaoxia²,Liu Juan¹,Zhang Yu-Mei²,Zhao Shaofeng³,Su Rongfeng¹,Wang Lan¹,Yan Nan¹

Affiliation:

1. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences,CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems,Shenzhen,China

2. School of Rehabilitation Medicine, Capital Medical University, Beijing Bo’ Ai Hospital, China Rehabilitation Research Center,Department of Neurorehabilitation,Beijing,China

3. The Eighth Affiliated Hospital of Sun Yat-sen University,Department of Rehabilitation Medicine,Shenzhen,China

Funder

National Key R&D Program of China

National Natural Science Foundation of China (NSFC)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9961216/9961238/09961300.pdf?arnumber=9961300

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