Alsarrani, Rawan (2025) Hearing the unspoken: thin slices theory and multiple instance learning for speech-based depression detection. PhD thesis, University of Glasgow.
Due to Embargo and/or Third Party Copyright restrictions, this thesis is not available in this service.Abstract
Abstract not currently available.
| Item Type: | Thesis (PhD) |
|---|---|
| Qualification Level: | Doctoral |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Colleges/Schools: | College of Science and Engineering > School of Engineering |
| Supervisor's Name: | Vinciarelli, Professor Alessandro |
| Date of Award: | 2025 |
| Embargo Date: | 21 February 2028 |
| Depositing User: | Theses Team |
| Unique ID: | glathesis:2025-84958 |
| Copyright: | Copyright of this thesis is held by the author. |
| Date Deposited: | 25 Mar 2025 12:22 |
| Last Modified: | 25 Mar 2025 12:22 |
| URI: | https://theses.gla.ac.uk/id/eprint/84958 |
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