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

Journal: Journal of affective disorders
PMID:

Abstract

BACKGROUND: Prior research has associated spoken language use with depression, yet studies often involve small or non-clinical samples and face challenges in the manual transcription of speech. This paper aimed to automatically identify depression-related topics in speech recordings collected from clinical samples.

Authors

  • Yuezhou Zhang
    Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. Electronic address: yuezhou.zhang@kcl.ac.uk.
  • Amos A Folarin
    Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Institute of Health Informatics, University College London, London, UK; NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK.
  • Judith Dineley
    Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; University of Augsburg, Augsburg, Germany.
  • Pauline Conde
    Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Valeria de Angel
    Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Shaoxiong Sun
    Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Department of Computer Science, University of Sheffield, Sheffield, UK.
  • Yatharth Ranjan
    Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Zulqarnain Rashid
    Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Callum Stewart
    Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Petroula Laiou
    Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Heet Sankesara
    Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Linglong Qian
  • Faith Matcham
    Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; School of Psychology, University of Sussex, Falmer, East Sussex, UK.
  • Katie White
    Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Carolin Oetzmann
    Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Femke Lamers
    Department of Psychiatry, Amsterdam Public Health Research Institute and Amsterdam Neuroscience, Amsterdam University Medical Centre, Vrije Universiteit and GGZ InGeest, Amsterdam, the Netherlands.
  • Sara Siddi
    Parc Sanitari Sant Joan de Déu, Fundació Sant Joan de Déu, CIBERSAM, Universitat de Barcelona, Barcelona, Spain.
  • Sara Simblett
    Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Björn W Schuller
    GLAM - the Group on Language, Audio, & Music, Imperial College London, London, United Kingdom.
  • Srinivasan Vairavan
    Neuroscience Therapeutic Area, Janssen Research & Development, LLC, Pennington, NJ, United States of America.
  • Til Wykes
    Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; South London and Maudsley NHS Foundation Trust, London, UK.
  • Josep Maria Haro
    CIBER Salud Mental (CIBERSAM), Madrid, Spain.
  • Brenda W J H Penninx
    Department of Psychiatry and Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
  • Vaibhav A Narayan
    Neuroscience Therapeutic Area, Janssen Research & Development, LLC, Pennington, NJ, United States of America.
  • Matthew Hotopf
    Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; South London and Maudsley NHS Foundation Trust, London, UK.
  • Richard J B Dobson
    Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, UK.
  • Nicholas Cummins
    Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.