White, Lauren;
Carr, Ewan;
Dineley, Judith;
Botelho, Catarina;
Conde, Pauline;
Matcham, Faith;
Oetzmann, Carolin;
... Cummins, Nicholas; + view all
(2025)
Speech Reference Intervals: An Assessment of Feasibility in Depression Symptom Severity Prediction.
In:
Interspeech 2025.
(pp. pp. 459-463).
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Abstract
Major Depressive Disorder (MDD) is a prevalent mental disorder. Combining speech features and machine learning has promise for predicting MDD, but interpretability is crucial for clinical applications. Reference intervals (RIs) represent a typical range for a speech feature in a population. RIs could increase interpretability and help clinicians identify deviations from norms. They could also replace conventional speech features in machine learning models. However, no work has yet assessed the feasibility of speech RIs in MDD. We generated and compared RIs from three reference datasets varying in size, elicitation prompt, and health information. We then calculated deviations from each RI set for people with MDD to compare performance on a depression symptom severity prediction task. Our RI-based models trained with demographic data performed similarly to each other and equivalent models using conventional features or demographics only, demonstrating the value of RI-derived features.
| Type: | Proceedings paper |
|---|---|
| Title: | Speech Reference Intervals: An Assessment of Feasibility in Depression Symptom Severity Prediction |
| Event: | Interspeech 2025 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.21437/interspeech.2025-1438 |
| Publisher version: | https://doi.org/10.21437/interspeech.2025-1438 |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | reference intervals, interpretability, speech biomarkers, depression. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Clinical Epidemiology |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10216362 |
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