Automatic Detection of Depression in Speech Using Ensemble Convolutional Neural Networks

Automatic Detection of Depression in Speech Using Ensemble Convolutional Neural Networks

This paper proposes a speech-based method for automatic depression classification. The system is based on ensemble learning for Convolutional Neural Networks (CNNs) and is evaluated using the data and the experimental protocol provided in the Depression Classification Sub-Challenge (DCC) at the 2016...

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Bibliographic Details
Main Authors:	Adrián Vázquez-Romero, Ascensión Gallardo-Antolín
Format:	Article
Language:	English
Published:	MDPI AG 2020-06-01
Series:	Entropy
Subjects:	depression detection speech convolutional neural networks ensemble learning
Online Access:	https://www.mdpi.com/1099-4300/22/6/688

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