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Exploiting Vocal Tract Coordination Using Dilated CNNs for Depression Detection in Naturalistic Environments

Abstract: 

Depression detection from speech continues to attract significant research attention but remains a major challenge, particularly when the speech is acquired from diverse smartphones in natural environments. Analysis methods based on vocal tract coordination have shown great promise in depression and cognitive impairment detection for quantifying relationships between features over time through eigenvalues of multi-scale cross-correlations. Motivated by the success of these methods, this paper proposes a novel way to extract full vocal tract coordination (FVTC) features by use of convolutional neural networks (CNNs), overcoming earlier shortcomings. Evaluations of the proposed FVTC-CNN structure on depressed speech data show improvements in mean F1 scores of at least 16.4% under clean conditions and comparable results under noisy conditions relative to existing VTC baseline systems.

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Paper Details

Authors:
Zhaocheng Huang, Julien Epps, Dale Joachim
Submitted On:
28 May 2020 - 10:57pm
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Zhaocheng Huang
Paper Code:
SPE-L17.4
Document Year:
2020
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[1] Zhaocheng Huang, Julien Epps, Dale Joachim, "Exploiting Vocal Tract Coordination Using Dilated CNNs for Depression Detection in Naturalistic Environments", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5446. Accessed: Sep. 25, 2020.
@article{5446-20,
url = {http://sigport.org/5446},
author = {Zhaocheng Huang; Julien Epps; Dale Joachim },
publisher = {IEEE SigPort},
title = {Exploiting Vocal Tract Coordination Using Dilated CNNs for Depression Detection in Naturalistic Environments},
year = {2020} }
TY - EJOUR
T1 - Exploiting Vocal Tract Coordination Using Dilated CNNs for Depression Detection in Naturalistic Environments
AU - Zhaocheng Huang; Julien Epps; Dale Joachim
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5446
ER -
Zhaocheng Huang, Julien Epps, Dale Joachim. (2020). Exploiting Vocal Tract Coordination Using Dilated CNNs for Depression Detection in Naturalistic Environments. IEEE SigPort. http://sigport.org/5446
Zhaocheng Huang, Julien Epps, Dale Joachim, 2020. Exploiting Vocal Tract Coordination Using Dilated CNNs for Depression Detection in Naturalistic Environments. Available at: http://sigport.org/5446.
Zhaocheng Huang, Julien Epps, Dale Joachim. (2020). "Exploiting Vocal Tract Coordination Using Dilated CNNs for Depression Detection in Naturalistic Environments." Web.
1. Zhaocheng Huang, Julien Epps, Dale Joachim. Exploiting Vocal Tract Coordination Using Dilated CNNs for Depression Detection in Naturalistic Environments [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5446