Attention-Based Multimodal Fusion for Estimating Human Emotion in Real-World HRI

Author:

Li Yuanchao1,Zhao Tianyu2,Shen Xun3

Affiliation:

1. Honda R&D Co., Ltd., Tokyo, Japan

2. Kyoto University, Kyoto, Japan

3. The Graduate University for Advanced Studies, Tokyo, Japan

Publisher

ACM

Reference20 articles.

1. Local Gabor Binary Patterns from Three Orthogonal Planes for Automatic Facial Expression Recognition

2. Multi-modal emotion recognition from speech and text;Chuang Ze-Jing;International Journal of Computational Linguistics & Chinese Language Processing,2004

3. Consistent but modest

4. Opensmile

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2. Enhancing Speech Emotion Recognition for Real-World Applications via ASR Integration;2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW);2023-09-10

3. Empowering Dialogue Systems with Affective and Adaptive Interaction: Integrating Social Intelligence;2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW);2023-09-10

4. Uni2Mul: A Conformer-Based Multimodal Emotion Classification Model by Considering Unimodal Expression Differences with Multi-Task Learning;Applied Sciences;2023-09-01

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