Emotion Recognition With Multimodal Transformer Fusion Framework Based on Acoustic and Lexical Information
Author:
Affiliation:
1. School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China
2. Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Tianjin Municipal Science and Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Hardware and Architecture,Media Technology,Signal Processing,Software
Link
http://xplorestaging.ieee.org/ielx7/93/9830637/09740502.pdf?arnumber=9740502
Reference20 articles.
1. Attention is your need;vaswani,0
2. Multimodal Transformer Fusion for Continuous Emotion Recognition
3. CTNet: Conversational Transformer Network for Emotion Recognition
4. Robust Multimodal Emotion Recognition from Conversation with Transformer-Based Crossmodality Fusion
5. Improving Multimodal Named Entity Recognition via Entity Span Detection with Unified Multimodal Transformer
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