3 papers
eess.AS2026
A Fair and Transparent Framework for Speech-Based Depression Detection: Balancing Interpretability and Performance
Mariel Estevez, Alfonso Ortega, Antonio Miguel +1
While speech provides rich, non-invasive biomarkers for mental-health assessment, clinical adoption is limited by opaque models and potential demographic bias. In this work we prop…
eess.AS2025
Study on the Fairness of Speaker Verification Systems on Underrepresented Accents in English
Mariel Estevez, Luciana Ferrer
Speaker verification (SV) systems are currently being used to make sensitive decisions like giving access to bank accounts or deciding whether the voice of a suspect coincides with…
eess.AS2025
Beyond Global Metrics: A Fairness Analysis for Interpretable Voice Disorder Detection Systems
Mariel Estevez, Cyntia Bonomi, Dayana Ribas +2
We conducted a comprehensive analysis of an Automatic Voice Disorders Detection (AVDD) system using existing voice disorder datasets with available demographic metadata. The study…