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

Web-based and Mobile Health Interventions (3128) Mobile Health (mhealth) (2777) Depression and Mood Disorders; Suicide Prevention (1290) Machine Learning (1401) Text-messaging (SMS, WeChat etc)-Based Interventions (624) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (91)

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
Article Authors Cited by (12) Tweetations (6) Metrics

Ah Young Kim   1 , MSc ;   Eun Hye Jang   1 , PhD ;   Seung-Hwan Lee   2, 3, 4 , MD, PhD ;   Kwang-Yeon Choi   5 , MD, PhD ;   Jeon Gue Park   6, 7 , PhD ;   Hyun-Chool Shin   8 , PhD

1 Medical Information Research Section, Electronics and Telecommunications Research Institute, Dajeon, Republic of Korea

2 Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang, Republic of Korea

3 Department of Psychiatry, Inje University, Ilsan-Paik Hospital, Goyang, Republic of Korea

4 Bwave Inc, Goyang, Republic of Korea

5 Department of Psychiatry, College of Medicine, Chungnam National University, Daejeon, Republic of Korea

6 Artificial Intelligence Research Laboratory, Electronics and Telecommunications Research Institute, Dajeon, Republic of Korea

7 Tutorus Labs Inc, Seoul, Republic of Korea

8 Department of Electronics Engineering, Soongsil University, Seoul, Republic of Korea

Corresponding Author:

  • Hyun-Chool Shin, PhD
  • Department of Electronics Engineering, Soongsil University
  • 511 Sang-do dong
  • Seoul, 156743
  • Republic of Korea
  • Phone: 82 28287165
  • Fax: 82 428606594
  • Email: shinhc@ssu.ac.kr