A deep tensor-based approach for automatic depression recognition from speech utterances.

Pandey, Sandeep Kumar; Shekhawat, Hanumant Singh; Prasanna, S R M; Bhasin, Shalendar; Jasuja, Ravi

Pandey, Sandeep Kumar; Shekhawat, Hanumant Singh; Prasanna, S R M; Bhasin, Shalendar; Jasuja, Ravi.

Afiliação

Pandey SK; Electronics and Electrical Engineering Dept, Indian Institute of Technology Guwahati, Assam, India.
Shekhawat HS; Electronics and Electrical Engineering Dept, Indian Institute of Technology Guwahati, Assam, India.
Prasanna SRM; Electrical Engineering Dept, Indian Institute of Technology Dharwad, Dharwad, Karnataka, India.
Bhasin S; Brigham and Womens Hospital, Harvard Medical School, Boston, MA, United States of America.
Jasuja R; Brigham and Womens Hospital, Harvard Medical School, Boston, MA, United States of America.

PLoS One ; 17(8): e0272659, 2022.

Article em En | MEDLINE | ID: mdl-35951508

Assuntos

Depressão; Dispositivos Eletrônicos Vestíveis; Algoritmos; Estudos Transversais; Depressão/diagnóstico; Fala

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Depressão / Dispositivos Eletrônicos Vestíveis Tipo de estudo: Diagnostic_studies / Observational_studies / Prevalence_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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