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Multimodal information fusion application to human emotion recognition from face and speech

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Cited by

2016Affect representation and recognition in 3D continuous valence–arousal–dominance space127 cited
2016Multimodal Deep Convolutional Neural Network for Audio-Visual Emotion Recognition107 cited
2018Deep spatio-temporal feature fusion with compact bilinear pooling for multimodal emotion recognition105 cited
2019Emotion recognition using secure edge and cloud computing

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104 cited

2020DNN-HMM-Based Speaker-Adaptive Emotion Recognition Using MFCC and Epoch-Based Features87 cited

2021Information Fusion in Attention Networks Using Adaptive and Multi-Level Factorized Bilinear Pooling for Audio-Visual Emotion Recognition85 cited

2019Speech Emotion Recognition with Heterogeneous Feature Unification of Deep Neural Network84 cited

2017Deep Spatio-Temporal Features for Multimodal Emotion Recognition82 cited

2012Audiovisual emotion recognition using ANOVA feature selection method and multi-classifier neural networks78 cited

2013Towards Efficient Multi-Modal Emotion Recognition78 cited

2018Self-Attentive Feature-Level Fusion for Multimodal Emotion Detection75 cited

2022“I Didn’t Know I Looked Angry”: Characterizing Observed Emotion and Reported Affect at Work71 cited

2015Audio-visual emotion recognition using multi-directional regression and Ridgelet transform68 cited

2013Hybrid video emotional tagging using users’ EEG and video content60 cited

2015Cross-language acoustic emotion recognition: An overview and some tendencies60 cited

2019A Deep Spatial and Temporal Aggregation Framework for Video-Based Facial Expression Recognition57 cited