Autoencoder Based on Vmd and Mutual Information to Detect Depression from speech-Reference-Cited by-同舟云学术

Autoencoder Based on Vmd and Mutual Information to Detect Depression from speech

Published:2022-12-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence
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Author:

Wu Huanan¹^ORCID,Hu Weiping¹^ORCID,Fu Deli¹^ORCID

Affiliation:

1. College of Electronics and Information Engineering, Guangxi Normal University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3584376.3584453

Reference12 articles.

1. The influence of depression, social activity, and family stress on functional outcome after stroke.

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3. Haizhen An . Research on Depression Tendency Recognition Based on Speech Signal [D] . Northwest Normal University , 2021 . DOI:10.27410/d.cnki.gxbfu.2021.001582. 10.27410/d.cnki.gxbfu.2021.001582 Haizhen An. Research on Depression Tendency Recognition Based on Speech Signal [D]. Northwest Normal University, 2021. DOI:10.27410/d.cnki.gxbfu.2021.001582.

4. Zhao Zhang , Wang Jingying, Geng Xinyi , Zhu Tingshao, Wang Shouyan . Depression Recognition Method Based on A coustic Signal Analysis Integrating Attention Mechanism and BiHLSTM [J] . Journal of Fudan University (Natural Science ) , 2021 , 60(06):733-739. Zhao Zhang, Wang Jingying, Geng Xinyi, Zhu Tingshao, Wang Shouyan. Depression Recognition Method Based on A coustic Signal Analysis Integrating Attention Mechanism and BiHLSTM [J]. Journal of Fudan University (Natural Science ), 2021, 60(06):733-739.

5. Speech Depression Tendency Recognition Based on Attentional Residual Network [J];Lu Xiao;Journal of Chinese Computer Systems,2022