End-to-End Modeling and Transfer Learning for Audiovisual Emotion Recognition in-the-Wild

End-to-End Modeling and Transfer Learning for Audiovisual Emotion Recognition in-the-Wild

As emotions play a central role in human communication, automatic emotion recognition has attracted increasing attention in the last two decades. While multimodal systems enjoy high performances on lab-controlled data, they are still far from providing ecological validity on non-lab-controlled, name...

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Bibliographic Details
Main Authors: Denis Dresvyanskiy, Elena Ryumina, Heysem Kaya, Maxim Markitantov, Alexey Karpov, Wolfgang Minker
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Multimodal Technologies and Interaction
Subjects:
affective computing
emotion recognition
deep learning architectures
face processing
multimodal fusion
multimodal representations
Online Access:https://www.mdpi.com/2414-4088/6/2/11

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