This paper is in the following e-collection/theme issue:

Web-based and Mobile Health Interventions (3301) Mobile Health (mhealth) (2943) Depression and Mood Disorders; Suicide Prevention (1363) Machine Learning (1465) Text-messaging (SMS, WeChat etc)-Based Interventions (650) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (93)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34474, first published .
Automatic Depression Detection Using Smartphone-Based Text-Dependent Speech Signals: Deep Convolutional Neural Network Approach

Automatic Depression Detection Using Smartphone-Based Text-Dependent Speech Signals: Deep Convolutional Neural Network Approach

Automatic Depression Detection Using Smartphone-Based Text-Dependent Speech Signals: Deep Convolutional Neural Network Approach

Authors of this article:

Ah Young Kim1 Author Orcid Image ;   Eun Hye Jang1 Author Orcid Image ;   Seung-Hwan Lee2, 3, 4 Author Orcid Image ;   Kwang-Yeon Choi5 Author Orcid Image ;   Jeon Gue Park6, 7 Author Orcid Image ;   Hyun-Chool Shin8 Author Orcid Image
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