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

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