Deep learning-based automated speech detection as a marker of social functioning in late-life depression.

Journal: Psychological medicine
Published Date: Jul 1, 2021

Abstract

BACKGROUND: Late-life depression (LLD) is associated with poor social functioning. However, previous research uses bias-prone self-report scales to measure social functioning and a more objective measure is lacking. We tested a novel wearable device to measure speech that participants encounter as an indicator of social interaction.

Authors

  • Bethany Little
    Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.
  • Ossama Alshabrawy
    Interdisciplinary Computing and Complex BioSystems (ICOS) group, School of Computing, Newcastle University, Newcastle upon Tyne, UK.
  • Daniel Stow
    Institute of Health and Society, Newcastle University, Newcastle upon Tyne, UK.
  • I Nicol Ferrier
    Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.
  • Roisin McNaney
    Faculty of Engineering, Bristol University, Bristol, UK.
  • Daniel G Jackson
    Open Lab, School of Computing, Newcastle University, Newcastle upon Tyne, UK.
  • Karim Ladha
    Open Lab, School of Computing, Newcastle University, Newcastle upon Tyne, UK.
  • Cassim Ladha
    Cascom Ltd, Newcastle upon Tyne, UK.
  • Thomas Ploetz
    School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, USA.
  • Jaume Bacardit
  • Patrick Olivier
    Faculty of Information Technology, Monash University, Melbourne, Australia.
  • Peter Gallagher
    Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.
  • John T O'Brien
    Institute of Neuroscience, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, NE4 5PL, United Kingdom.

Keywords

External Resources

Popular Topics
Recent Journals