Detecting depression in speech using verbal behavior analysis: a cross-cultural study
Data collected through the present study could be useful in providing guidelines for the design of autonomous systems able to detect early signs of mood changes and depression through the analysis of interactional exchanges. The final aim is to provide automated and cost-effective technological interventions to be used in health care centers, as well as by mental health professionals, such as psychologists, psychiatrists, psychotherapists, therefore with the aim to provide assistance, jointly with the clinician's expertise, in the process of diagnosing depression.
Authors
- Anna Esposito (ORCID: https://orcid.org/0000-0002-7268-1795)
- Marialucia Cuciniello (ORCID: https://orcid.org/0009-0003-3053-1881)
- Terry Amorese (ORCID: https://orcid.org/0000-0002-9987-2823)
- O. S. Sheveleva
- Cornelius Glackin (ORCID: https://orcid.org/0000-0001-5114-6403)
- Zoraida Callejas (ORCID: https://orcid.org/0000-0001-8891-5237)
- Gavin McConvey
- Gennaro Cordasco (ORCID: https://orcid.org/0000-0001-9148-9769)
- Claudia Greco (ORCID: https://orcid.org/0000-0001-5871-4012)
Institutions
- Universidad de Granada (ES)
- University of Campania "Luigi Vanvitelli" (IT)
- University of Pavia (IT)
- South Downs College (GB)
- Intelligent Health (United Kingdom) (GB)
Publication Details
- Journal
- Frontiers in Psychology
- Published
- 2025-05-29
- DOI
- https://doi.org/10.3389/fpsyg.2025.1514918
- Citations
- 3
- Primary Topic
- Mental Health via Writing
- Type
- article
- Field-Weighted Citation Impact
- 7.32
Funders
- Horizon 2020 Framework Programme