ENIT
WebThesis Logo Politecnico di Torino
[Atom feed] Atom [RSS feed] RSS 1.0 [RSS2 feed] RSS 2.0
Group by: Date | No Grouping
Number of items: 1.

Barbara Ruvolo. Interpretable acoustic features for depression detection: a comparative study of healthy & Parkinson’s disease individuals. Rel. Antonio Servetti, Mathew Magimai Doss. Politecnico di Torino, Master of science program in Cinema And Media Engineering, 2023

[thumbnail of Tesi_di_laurea]
Preview

This list was generated on Mon Feb 9 20:46:32 2026 CET.