Feature Augmenting Networks for Improving Depression Severity Estimation From Speech Signals

Feature Augmenting Networks for Improving Depression Severity Estimation From Speech Signals

Depression disorder has become one of the major psychological diseases endangering human health. Researcher in the affective computing community is supporting the development of reliable depression severity estimation system, from multiple modalities (speech, face, text), to assist doctors in their...

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Bibliographic Details
Main Authors: Le Yang, Dongmei Jiang, Hichem Sahli
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Depression estimation
audio features
data augmentation
deep convolutional generative adversarial network
spatial domain
frequency domain
Online Access:https://ieeexplore.ieee.org/document/8976082/

Internet

https://ieeexplore.ieee.org/document/8976082/

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