The DISCOURSE in psychosis (London Ontario): A speech dataset to examine communication disturbances in early-stage psychosis

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Authors: Brian Cho, Estée Balles, Michael Mackinley, Paulina Dzialoszynski, Sabrina Ford, Rohit Lodhi, Lena Palaniyappan
Cited by: 3
References: 18

Abstract

Advances in speech technology and Natural Language Processing (NLP) have demonstrated promise in using speech as a valid source of data to detect features of psychosis. These technologies can potentially detect subtle speech aberrations that often go unnoticed by clinicians and family members. However, research in this area is hindered by a significant limitation: a lack of sufficient and appropriate speech corpora from psychosis patients, especially datasets containing naturalistic speech that reflects typical clinical interactions. This scarcity limits the development, testing, and generalization of new computational methods for psychosis prediction. To address this gap, our new dataset offers naturalistic speech samples collected using the semi-structured DISCOURSE protocol. This resource includes both raw audio recordings and transcribed speech from individuals participating in an early-stage psychosis treatment program (

Fields of Study & Subjects

Schizophrenia research and treatment Emotion and Mood Recognition Digital Mental Health Interventions

Publication details

Journal / source
Data in Brief
Publisher
Elsevier BV
Volume
65
Pages
112517–112517
Publication date
27 January 2026
Language
EN