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 |
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| 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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