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Multimodal Deep Convolutional Neural Network for Audio-Visual Emotion Recognition

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References

2008A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions2,797 cited
2013Deep learning for robust feature generation in audiovisual emotion recognition401 cited
2008Recognizing Human Emotional State From Audiovisual Signals215 cited
2008Recognizing Human Emotional State From Audiovisual Signals*202 cited
2009Multimodal information fusion application to human emotion recognition from face and speech166 cited

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2020A Multimodal Facial Emotion Recognition Framework through the Fusion of Speech with Visible and Infrared Images61 cited
2020Facial emotion recognition using temporal relational network: an application to E-learning58 cited
2020Fusion of deep learning features with mixture of brain emotional learning for audio-visual emotion recognition57 cited
2022Methods for Facial Expression Recognition with Applications in Challenging Situations55 cited
2017

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DCNN and DNN based multi-modal depression recognition

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2017Modeling multimodal cues in a deep learning-based framework for emotion recognition in the wild44 cited

2022A Survey on Databases for Multimodal Emotion Recognition and an Introduction to the VIRI (Visible and InfraRed Image) Database44 cited