期刊
ADVANCES IN ARTIFICIAL INTELLIGENCE
卷 11489, 期 -, 页码 472-478出版社
SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-3-030-18305-9_47
关键词
Depression; Acoustic features; Classification; Regression
资金
- GRA Rice Graduate Scholarship in Communications
- AGE-WELL NCE
- NSERC
In this paper, we present our exploration of different machine-learning algorithms for detecting depression by analyzing the acoustic features of a person's voice. We have conducted our study on benchmark datasets, in order to identify the best framework for the task, in anticipation of deploying it in a future application.
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