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A time-frequency channel attention and vectorization network for automatic depression level prediction

  • Published:2021-08 Issue: Volume:450 Page:208-218
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Niu Mingyue,Liu Bin,Tao Jianhua,Li Qifei

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference46 articles.

1. Major depressive disorder;Belmaker;N. Engl. J. Med.,2008

2. Depression and other common mental disorders: global health estimates;Organization,2017

3. Abnormal speech articulation, psychomotor retardation, and subcortical dysfunction in major depression;Flint;J. Psychiatric Res.,1993

4. Vocal acoustic biomarkers of depression severity and treatment response;Mundt;Biol. Psychiatry,2012

5. The frequency of perceived stress, anxiety, and depression in patients with common pathologies affecting voice;Dietrich;J. Voice,2008

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