Multimodal Depression Classification using Articulatory Coordination Features and Hierarchical Attention Based text Embeddings
Author:
Affiliation:
1. University of Maryland,College Park,USA
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747462.pdf?arnumber=9747462
Reference30 articles.
1. Hierarchical Attention Networks for Document Classification
2. Speech Based Depression Severity Level Classification Using a Multi-Stage Dilated CNN-LSTM Model
3. Generalized Dilated CNN Models for Depression Detection Using Inverted Vocal Tract Variables
4. Hierarchical Attention Transfer Networks for Depression Assessment from Speech
5. DepAudioNet
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3. SHAP-based Prediction of Mother's History of Depression to Understand the Influence on Child Behavior;INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION;2023-10-09
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5. Multimodal Depression Severity Score Prediction Using Articulatory Coordination Features and Hierarchical Attention Based Text Embeddings;Interspeech 2022;2022-09-18
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