Feature Extraction Method for Predicting Depression by Frequency Domain Analysis
Eun-Joo Seo, Kwang‐Seok Hong · Advances in engineering research/Advances in Engineering Research · 2015
In this paper, we propose a feature extraction method, which subdivides feature vectors into three frequency regions of 300-1000Hz, 1000-2000Hz, and 2000-3000Hz.The range and mean of intensity are extracted for each frequency region.By so doing, we can compensate the defect of increasing the intensity value, when a person intentionally increases his or her vocalization.Previous studies extracted the slope and correlation of the glottal flow spectrum from the 300-3000Hz region.But, we extract the slope and correlation from each separated frequency region.The overall experimental results show 92.85% for men, and 92.08% for women.The proposed method enhances the respective classification accuracy by 6.73% for men, and 8.09% for women.