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DEPA: Self-Supervised Audio Embedding for Depression Detection

DEPA: Self-Supervised Audio Embedding for Depression Detection

29 October 2019
Pingyue Zhang
Mengyue Wu
Heinrich Dinkel
Kai Yu
ArXivPDFHTML

Papers citing "DEPA: Self-Supervised Audio Embedding for Depression Detection"

3 / 3 papers shown
Title
InterMind: A Doctor-Patient-Family Interactive Depression Assessment
  System Empowered by Large Language Models
InterMind: A Doctor-Patient-Family Interactive Depression Assessment System Empowered by Large Language Models
Zhiyuan Zhou
Jilong Liu
Sanwang Wang
Shijie Hao
Yanrong Guo
Richang Hong
AI4MH
34
0
0
23 Sep 2024
D4: a Chinese Dialogue Dataset for Depression-Diagnosis-Oriented Chat
D4: a Chinese Dialogue Dataset for Depression-Diagnosis-Oriented Chat
Binwei Yao
C. Shi
Likai Zou
Lingfeng Dai
Mengyue Wu
Lu Chen
Zhen Wang
Kai Yu
AI4MH
22
23
0
24 May 2022
Self-supervised Co-training for Video Representation Learning
Self-supervised Co-training for Video Representation Learning
Tengda Han
Weidi Xie
Andrew Zisserman
SSL
209
308
0
19 Oct 2020
1