Year: 2026
Type: conference-paper
Study design: Observational Study
Abstract: Schizophrenia-spectrum disorders (SSDs) are characterised by disrupted emotional processing, reflected in speech and language.In this work, I investigate automated computational measures of SSDs using the Narrative Emotion Task, a semistructured interview eliciting emotional narrative speech.I report findings on emotional alignment (EA) scores and acoustic features for distinguishing healthy controls from individuals with SSD.I then outline a plan for repeated-measures prediction of symptoms using acoustic, linguistic, and affective speech features across five timepoints, moving towards a speech-based framework for longitudinal symptom monitoring in SSDs.
DOI: 10.21437/dc.2026-5
Author: Shrankhla Pandey
Language: English
Topic: Emotion and Mood Recognition
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W7214770519