Leveraging Deep Learning based Feature Extraction Techniques for Improved Audio-Based Depression Detection

• Published in: 2024 1st International Conference on Sustainability and Technological Advancements in Engineering Domain (SUSTAINED) pp. 279 - 284
• Main Authors: Joshi, Deepak, Kaur, Manpreet
• Format: Conference Proceeding
• Language: English
• Published: IEEE 13.12.2024
• Subjects: Accuracy; Decision Tree; Decision trees; Deep learning; Depression; EDAIC-WOZ; Feature extraction; Mel frequency cepstral coefficient; MFCC; Physiology; Support vector machines; Sustainable development; SVM; Training
• DOI: 10.1109/SUSTAINED63638.2024.11073888

A significant number of people across the globe are affected by Depressive disorder due to various reasons. The health care practitioners use several traditional methods in their practice to diagnose depression which includes clinical assessment and scoring through questionnaires however those metho...