Multitask learning for enhanced depressive symptoms screening using real-life voice recordings

Abir Elbeji Luxembourg Institute of Health (LIH) Abstract: Depression affects around 4.4% of the global population, requiring early and accurate screening to reduce its long-term damage. Traditional screening approaches such as self-reported questionnaires have limitations, prompting the shift to objective assessment methods such as voice-based biomarkers. These biomarkers offer non-invasive and scalable depression screening, though … Continue reading Multitask learning for enhanced depressive symptoms screening using real-life voice recordings