Emotional stimulated speech-based assisted early diagnosis of depressive disorders using personality-enhanced deep learning.

Journal: Journal of affective disorders
PMID: 39914753

Abstract

BACKGROUND: Early diagnosis of depression is crucial, and speech-based early diagnosis of depression is promising, but insufficient data and lack of theoretical support make it difficult to be applied. Therefore, it is valuable to combine psychiatric theories, collect speech recognition data for depression, and develop a practicable recognition method for depression.

Authors

  • Zhong Ding
    Psychological Science and Health Research Center, China University of Geosciences, Lumo Road, Wuhan 430074, Hubei, China; Institute of Education, China University of Geosciences, Lumo Road, Wuhan 430074, Hubei, China; School of Automation, China University of Geosciences, Lumo Road, Wuhan 430074, Hubei, China.
  • Jing Chen
    Department of Vascular Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
  • Bao-Liang Zhong
    Psychological Science and Health Research Center, China University of Geosciences, Lumo Road, Wuhan 430074, Hubei, China; Wuhan Mental Health Center, Jianshe Avenue, Wuhan 430032, Hubei, China; Wuhan Hospital for Psychotherapy, Jianshe Avenue, Wuhan 430032, Hubei, China. Electronic address: haizhilan@gmail.com.
  • Chen-Ling Liu
    Psychological Science and Health Research Center, China University of Geosciences, Lumo Road, Wuhan 430074, Hubei, China; Institute of Education, China University of Geosciences, Lumo Road, Wuhan 430074, Hubei, China. Electronic address: liuchl@cug.edu.cn.
  • Zhen-Tao Liu
    Psychological Science and Health Research Center, China University of Geosciences, Lumo Road, Wuhan 430074, Hubei, China; School of Automation, China University of Geosciences, Lumo Road, Wuhan 430074, Hubei, China. Electronic address: liuzhentao@cug.edu.cn.

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