Speech analysis for differentiating bipolar disorder and major depressive disorder during euthymic states

Differentiating major depressive disorder (MDD) from bipolar disorder (BP) is crucial for early diagnosis and targeted treatment. This study investigates speech, linguistic biomarkers, and machine learning models to differentiate between the MDD and BP patients using speech analysis during symptom-free periods. Voice recordings from 191 patients (41 BP, 150 MDD) during euthymic phases were analyzed. Linguistic metrics, sentiment scores, and acoustic features were extracted and compared between t