Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders-Reference-Cited by-同舟云学术

Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders

Published:2020-02 Issue:2 Volume:14 Page:423-434
ISSN:1932-4553
Container-title:IEEE Journal of Selected Topics in Signal Processing
language:
Short-container-title:IEEE J. Sel. Top. Signal Process.

Author:

Zhao Ziping^ORCID,Bao Zhongtian^ORCID,Zhang Zixing^ORCID,Deng Jun^ORCID,Cummins Nicholas^ORCID,Wang Haishuai^ORCID,Tao Jianhua^ORCID,Schuller Bjorn^ORCID

Funder

National Science Fund for Distinguished Young Scholars

Key Program of the National Natural Science Foundation of China

National Natural Science Foundation of China

Open Projects Program of the National Laboratory of Pattern Recognition

Key Program of the Natural Science Foundation of Tianjin

European Unions Horizon 2020 research and innovation programme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/4200690/9059048/08910358.pdf?arnumber=8910358

Cited by 57 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Speechformer-CTC: Sequential modeling of depression detection with speech temporal classification;Speech Communication;2024-09

2. EEGDepressionNet: A Novel Self Attention-Based Gated DenseNet With Hybrid Heuristic Adopted Mental Depression Detection Model Using EEG Signals;IEEE Journal of Biomedical and Health Informatics;2024-09

3. MelTrans: Mel-Spectrogram Relationship-Learning for Speech Emotion Recognition via Transformers;Sensors;2024-08-25

4. Longitudinal Modeling of Depression Shifts Using Speech and Language;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. Electricity Theft Detection Approach Using One-Class Classification for AMI;2024 IEEE 21st Consumer Communications & Networking Conference (CCNC);2024-01-06