Emotional Climate Recognition in Interactive Conversational Speech Using Deep Learning
Author:
Affiliation:
1. Khalifa University of Science and Technology,Department of Biomedical Engineering,Abu Dhabi,UAE
Funder
Khalifa University of Science and Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9861038/9861040/09861051.pdf?arnumber=9861051
Reference43 articles.
1. IOD-CNN: Integrating object detection networks for event recognition
2. Air-Writing Recognition Based on Deep Convolutional Neural Networks
3. K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations
4. MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation
5. DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation
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2. Deep Bispectral Analysis of Conversational Speech Towards Emotional Climate Recognition;2023 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET);2023-09-12
3. Emotional Climate Recognition in Conversations using Peers’ Speech-based Bispectral Features and Affect Dynamics *;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24
4. Emotional Climate Recognition in Speech-Based Conversations: Leveraging Deep Bispectral Image Analysis and Affect Dynamics;2023
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