Different Contextual Window Sizes Based RNNs for Multimodal Emotion Detection in Interactive Conversations

Different Contextual Window Sizes Based RNNs for Multimodal Emotion Detection in Interactive Conversations

Multimodal emotion detection (MED) in interactive conversations is extremely important for improving the overall human-computer interaction experience. Present research methods in this domain do not explicitly distinguish the contexts of a test utterance in a meaningful way while classifying emotion...

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Bibliographic Details
Main Authors: Helang Lai, Hongying Chen, Shuangyan Wu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Interactive conversations
contextual window sizes
emotion detection
multimodal
recurrent neural network
Online Access:https://ieeexplore.ieee.org/document/9127905/

Internet

https://ieeexplore.ieee.org/document/9127905/

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