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Prediction of Depression Severity Based on the Prosodic and Semantic
  Features with Bidirectional LSTM and Time Distributed CNN

Prediction of Depression Severity Based on the Prosodic and Semantic Features with Bidirectional LSTM and Time Distributed CNN

25 February 2022
Kaining Mao
Wei Zhang
D. B. Wang
Ang Li
R. Jiao
Yanhui Zhu
Bin Wu
Tiansheng Zheng
Lei Qian
Wei Lyu
Minjie Ye
Jie Chen
ArXiv (abs)PDFHTML

Papers citing "Prediction of Depression Severity Based on the Prosodic and Semantic Features with Bidirectional LSTM and Time Distributed CNN"

4 / 4 papers shown
Title
RBA-FE: A Robust Brain-Inspired Audio Feature Extractor for Depression Diagnosis
RBA-FE: A Robust Brain-Inspired Audio Feature Extractor for Depression Diagnosis
Yu-Xuan Wu
Ziyan Huang
Bin Hu
Z. Guan
15
0
0
08 Jun 2025
Fair Uncertainty Quantification for Depression Prediction
Fair Uncertainty Quantification for Depression Prediction
Yonghong Li
Xiuzhuang Zhou
94
0
0
08 May 2025
Multi-aspect Depression Severity Assessment via Inductive Dialogue
  System
Multi-aspect Depression Severity Assessment via Inductive Dialogue System
C. Lee
Seungyeon Seo
Heejin Do
Gary Geunbae Lee
43
0
0
29 Oct 2024
Depression Detection and Analysis using Large Language Models on Textual
  and Audio-Visual Modalities
Depression Detection and Analysis using Large Language Models on Textual and Audio-Visual Modalities
Avinash Anand
Chayan Tank
Sarthak Pol
Vinayak Katoch
Shaina Mehta
R. Shah
77
5
0
08 Jul 2024
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