Determining the Severity of Depression in Speech Based on Combination of Acoustic-Space and Score-Space Features
Author:
Affiliation:
1. Razi University,Department of Electrical and Computer Engineering,Kermanshah,IRAN
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9756443/9756418/09756429.pdf?arnumber=9756429
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1. Depression Estimation Using Audiovisual Features and Fisher Vector Encoding
2. Speech vs. text: a comparative analysis of features for depression detection systems;morales;Proc IEEE/ACL Workshop Spoken Lang Technol (SLT),2016
3. Model Fusion for Multimodal Depression Classification and Level Detection
4. AVEC 2014
5. Greedy function approximation: a gradient boosting machine;jerome;The Annals of Statistics Published By Institute of Mathematical Statistics,2001
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