Somatisation Disorder Detection via Speech: Introducing a Self-Supervised Learning Model-Reference-Cited by-同舟云学术

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Somatisation Disorder Detection via Speech: Introducing a Self-Supervised Learning Model

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Bao Zhihao¹,Qian Kun¹,Zhao Zhonghao¹,Sun Mengkai¹,Huang Ruolan²,Xu Dewen³,Hu Bin¹,Yamamoto Yoshiharu³,Schuller Björn W.⁴

Affiliation:

1. Ministry of Education (Beijing Institute of Technology),Key Laboratory of Brain Health Intelligent Evaluation and Intervention,Beijing,China,100081

2. Southern Medical University,First School of Clinical Medicine,Guangzhou,China,510515

3. The University of Tokyo,Educational Physiology Laboratory, Graduate School of Education,Japan

4. Imperial College London,GLAM – Group on Language, Audio, & Music,UK

Funder

Ministry of Science and Technology

National Natural Science Foundation of China

Beijing Institute of Technology

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340705.pdf?arnumber=10340705

Reference22 articles.

1. Somatic symptom disorder;Kurlansik;American Family Physician,2016

2. Prevalence and Correlation of Anxiety, Insomnia and Somatic Symptoms in a Chinese Population During the COVID-19 Epidemic

3. Cost of Illness Analysis of Common Mental Disorders: A Study from an Indian Academic Tertiary Care Hospital

4. Somatization Increases Medical Utilization and Costs Independent of Psychiatric and Medical Comorbidity

5. Artificial Intelligence Internet of Things for the Elderly: From Assisted Living to Health-Care Monitoring

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