Using i-vectors from voice features to identify major depressive disorder.

Di, Yazheng; Wang, Jingying; Li, Weidong; Zhu, Tingshao

Di, Yazheng; Wang, Jingying; Li, Weidong; Zhu, Tingshao.

Afiliación

Di Y; CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China.
Wang J; School of Optometry, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong.
Li W; Shanghai Jiao Tong University, Shanghai 200240, China. Electronic address: liwd@sjtu.edu.cn.
Zhu T; CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China. Electronic address: tszhu@psych.ac.cn.

J Affect Disord ; 288: 161-166, 2021 06 01.

Article en En | MEDLINE | ID: mdl-33895418

Asunto(s)

Trastorno Depresivo Mayor; Trastornos de la Voz; Trastorno Depresivo Mayor/diagnóstico; Femenino; Humanos; Acústica del Lenguaje

Palabras clave

Assessment/Diagnosis; Biological markers; Clinical trials; Computer/internet technology; Depression

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Trastornos de la Voz / Trastorno Depresivo Mayor Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Female / Humans Idioma: En Revista: J Affect Disord Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos

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