Research Article
An Attempt to Estimate Depressive Status from Voice
@INPROCEEDINGS{10.1007/978-3-030-25872-6_13, author={Yasuhiro Omiya and Takeshi Takano and Tomotaka Uraguchi and Mitsuteru Nakamura and Masakazu Higuchi and Shuji Shinohara and Shunji Mitsuyoshi and Mirai So and Shinichi Tokuno}, title={An Attempt to Estimate Depressive Status from Voice}, proceedings={Pervasive Computing Paradigms for Mental Health. 9th International Conference, MindCare 2019, Buenos Aires, Argentina, April 23--24, 2019, Proceedings}, proceedings_a={MINDCARE}, year={2019}, month={7}, keywords={Vocal analysis Depressive status estimation The Hamilton Depression Rating Scale (HAM-D)}, doi={10.1007/978-3-030-25872-6_13} }- Yasuhiro Omiya
Takeshi Takano
Tomotaka Uraguchi
Mitsuteru Nakamura
Masakazu Higuchi
Shuji Shinohara
Shunji Mitsuyoshi
Mirai So
Shinichi Tokuno
Year: 2019
An Attempt to Estimate Depressive Status from Voice
MINDCARE
Springer
DOI: 10.1007/978-3-030-25872-6_13
Abstract
In the whole world especially developed countries, increasing mental health disorders is a serious problem. As a countermeasure, the main objective of this paper is an attempt to estimate depressive status from voice. In this study, we gathered patients with major depressive disorders in the hospital’s consulting room. Several questionnaires including “the Hamilton Depression Rating Scale” (HAM-D) were administered to evaluate the patients’ depressed state. Voices corresponding to three long vowels were recorded from the subjects. Next, the acoustic feature quantity was calculated based on the voice. We developed the HAM-D score estimation algorithm from the voice using one of three types of long vowel audio content. As a result, there was a correlation between the “Actual HAM-D Score” and the “Estimated HAM-D Score”. We found that the algorithm is effective in estimating depression state and can be used for estimating the disease state based on voice.