Enhancing accuracy and privacy in speech-based depression detection through speaker disentanglement-Reference-Cited by-全球学者库

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Enhancing accuracy and privacy in speech-based depression detection through speaker disentanglement

Published:2024-06 Issue: Volume:86 Page:101605
ISSN:0885-2308
Container-title:Computer Speech & Language
language:en
Short-container-title:Computer Speech & Language

Author:

Ravi Vijay^ORCID,Wang Jinhan,Flint Jonathan,Alwan Abeer

Funder

National Institutes of Health

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference86 articles.

1. Computer-aided diagnosis of depression using EEG signals;Acharya;Eur. Neurol.,2015

2. Effectiveness of voice quality features in detecting depression;Afshan,2018

3. Detecting depression: a comparison between spontaneous and read speech;Alghowinem,2013

4. Linguistic analysis of speech in affective disorders;Andreasen;Arch. Gen. Psychiatry,1976

5. NetVLAD: CNN architecture for weakly supervised place recognition;Arandjelovic,2016

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