Automatic Depression Detection: An Emotional Audio-Textual Corpus and a GRU/BiLSTM-based Model

15 February 2022

Papers citing "Automatic Depression Detection: An Emotional Audio-Textual Corpus and a GRU/BiLSTM-based Model"

15 / 15 papers shown

Title
The First MPDD Challenge: Multimodal Personality-aware Depression Detection Changzeng Fu Zelin Fu Xinhe Kuang Jiacheng Dong Qi Zhang ... Shri Kiran Srinivasan Chaoran Liu Y. Yoshikawa Björn Schuller Hiroshi Ishiguro 26 0 0 15 May 2025
Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation Linhai Zhang Ziyang Gao Deyu Zhou Yulan He 62 0 0 03 Mar 2025
Towards Explainable Multimodal Depression Recognition for Clinical Interviews Wenjie Zheng Qiming Xie Zengzhi Wang Jianfei Yu Rui Xia 60 0 0 28 Jan 2025
Toward Corpus Size Requirements for Training and Evaluating Depression Risk Models Using Spoken Language Tomek Rutowski Amir Harati Elizabeth Shriberg Yang Lu Piotr Chlebek Ricardo Oliveira 41 7 0 03 Jan 2025
Investigating Acoustic-Textual Emotional Inconsistency Information for Automatic Depression Detection Rongfeng Su Changqing Xu Xinyi Wu Feng Xu Xie Chen Lan Wangt Nan Yan 37 0 0 09 Dec 2024
Multi-aspect Depression Severity Assessment via Inductive Dialogue System C. Lee Seungyeon Seo Heejin Do Gary Geunbae Lee 21 0 0 29 Oct 2024
HiQuE: Hierarchical Question Embedding Network for Multimodal Depression Detection Juho Jung Chaewon Kang Jeewoo Yoon Seungbae Kim Jinyoung Han 30 5 0 07 Aug 2024
Automating PTSD Diagnostics in Clinical Interviews: Leveraging Large Language Models for Trauma Assessments Sichang Tu Abigail Powers Natalie Merrill Negar Fani Sierra Carter S. Doogan Jinho D. Choi LM&MA 35 1 0 18 May 2024
DAIC-WOZ: On the Validity of Using the Therapist's prompts in Automatic Depression Detection from Clinical Interviews Sergio Burdisso Ernesto Reyes-Ramírez Esaú Villatoro-Tello Fernando Sánchez-Vega Adrian Pastor Lopez-Monroy P. Motlícek 27 8 0 22 Apr 2024
When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate Speech into Large Language Models for Depression Detection Xiangyu Zhang Hexin Liu Kaishuai Xu Qiquan Zhang Daijiao Liu Beena Ahmed Julien Epps 25 7 0 17 Feb 2024
CANAMRF: An Attention-Based Model for Multimodal Depression Detection Yuntao Wei Yuzhe Zhang Shuyang Zhang Hone Zhang 14 1 0 04 Jan 2024
Large Language Models in Mental Health Care: a Scoping Review Yining Hua Fenglin Liu Kailai Yang Zehan Li Y. Sheu Peilin Zhou Lauren V. Moran Sophia Ananiadou Andrew Beam AI4MH LM&MA 32 36 0 01 Jan 2024
Attention-Based Acoustic Feature Fusion Network for Depression Detection Xiao Xu Yang Wang Xinru Wei Fei Wang Xizhe Zhang 27 5 0 24 Aug 2023
Self-supervised representations in speech-based depression detection Wen Wu C. Zhang P. Woodland 19 23 0 20 May 2023
A Hybrid DSP/Deep Learning Approach to Real-Time Full-Band Speech Enhancement J. Valin 56 190 0 24 Sep 2017