Estimating Depressive Symptom Class from Voice.
Int J Environ Res Public Health
; 20(5)2023 02 23.
Article
en En
| MEDLINE
| ID: mdl-36900976
Voice-based depression detection methods have been studied worldwide as an objective and easy method to detect depression. Conventional studies estimate the presence or severity of depression. However, an estimation of symptoms is a necessary technique not only to treat depression, but also to relieve patients' distress. Hence, we studied a method for clustering symptoms from HAM-D scores of depressed patients and by estimating patients in different symptom groups based on acoustic features of their speech. We could separate different symptom groups with an accuracy of 79%. The results suggest that voice from speech can estimate the symptoms associated with depression.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Voz
/
Trastorno Depresivo Mayor
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Int J Environ Res Public Health
Año:
2023
Tipo del documento:
Article
País de afiliación:
Japón
Pais de publicación:
Suiza