ROSE: Acoustic feature datasets and analysis code for within-speaker cross-lingual associations with depressive symptom severity

Knaj, R. and Le Kernec, J. (2026) ROSE: Acoustic feature datasets and analysis code for within-speaker cross-lingual associations with depressive symptom severity. [Data Collection]

Collection description

This mixed-access deposit supports the research article “Within-Speaker Cross-Lingual Stability and Independent Native-English Replication of Acoustic Associations With Depressive Symptom Severity.” It contains open analysis and feature-extraction code, documentation, a data dictionary and non-disclosive aggregate outputs, plus controlled-access participant-level acoustic-feature datasets for 103 Syrian and 30 British participants. The controlled files contain pseudonymous IDs, PHQ-9 scores, age, participant-reported sex/gender, stimulus condition, language and eight derived acoustic features. Raw audio and direct-identifying metadata are excluded because the applicable consent and ethics conditions do not permit sharing or reuse.

Keywords: Acoustic features; depressive symptom severity; PHQ-9; bilingual speech; cross-lingual analysis
College / School: College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
Date Deposited: 03 Aug 2026 11:16
Related resources:
URI: https://researchdata.gla.ac.uk/id/eprint/2332

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Knaj, R. and Le Kernec, J. (2026); ROSE: Acoustic feature datasets and analysis code for within-speaker cross-lingual associations with depressive symptom severity

University of Glasgow/GitHub/Zenodo

DOI: 10.5525/gla.researchdata.2332

Retrieved: 2026-08-07

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