An End-To-End Emotion Recognition Framework Based on Temporal Aggregation of Multimodal Information

An End-To-End Emotion Recognition Framework Based on Temporal Aggregation of Multimodal Information

Humans express and perceive emotions in a multimodal manner. The multimodal information is intrinsically fused by the human sensory system in a complex manner. Emulating a temporal desynchronisation between modalities, in this paper, we design an end-to-end neural network architecture, called TA-AVN...

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Bibliographic Details
Main Authors: Anamaria Radoi, Andreea Birhala, Nicolae-Catalin Ristea, Liviu-Cristian Dutu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Emotion recognition
multimodal data
audiovisual information
augmentation techniques
convolutional neural network
real-time processing
Online Access:https://ieeexplore.ieee.org/document/9552845/

Internet

https://ieeexplore.ieee.org/document/9552845/

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