📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model. (2024)

First Author: Zhang Y

Attributed to: KCL Application for a Mental Health Data Pathfinder award funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.jad.2024.03.106

PubMed Identifier: 38552911

Publication URI: http://europepmc.org/abstract/MED/38552911

Type: Journal Article/Review

Volume: 355

Parent Publication: Journal of affective disorders

ISSN: 0165-0327