Breaking Age Barriers With Automatic Voice-Based Depression Detection
Author:
Affiliation:
1. University of New South Wales, Sydney, NSW, Australia
2. Sonde Health, Boston, MA, USA
Funder
ARC Linkage
Data61
Commonwealth Scientific and Industrial Research Organisation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computational Theory and Mathematics,Computer Science Applications,Software
Link
http://xplorestaging.ieee.org/ielx7/7756/9817037/09765394.pdf?arnumber=9765394
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1. The Effect of the Speech Task Characteristics on Perceptual Judgment of Mild to Moderate Dysphonia: A Methodological Study
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3. Cognitive deficits in depression: Possible implications for functional neuropathology
4. Language use of depressed and depression-vulnerable college students
5. Reduced vowel space is a robust indicator of psychological distress: A cross-corpus analysis
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