Multitask Learning and Multistage Fusion for Dimensional Audiovisual Emotion Recognition

Published: May 1, 2020
Abstract
Due to its ability to accurately predict emotional state using multimodal features, audiovisual emotion recognition has recently gained more interest from researchers. This paper proposes two methods to predict emotional attributes from audio and visual data using a multitask learning and a fusion strategy. First, multitask learning is employed by adjusting three parameters for each attribute to improve the recognition rate. Second, a multistage...
Paper Details
Title
Multitask Learning and Multistage Fusion for Dimensional Audiovisual Emotion Recognition
Published Date
May 1, 2020
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