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Multimodal Transformer Fusion for Continuous Emotion Recognition
8 references·16 citing·45 second hop
Multimodal Transformer Fusion for Continuous Emotion Recognition (2020)Multimodal Transformer Fusion for Continu…AVEC 2017 (2017)AVEC 2017AVEC 2016 (2016)AVEC 2016The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)The Geneva Minimalistic Acous…Combining Multiple Kernel Methods on Riemannian Manifold for Emotion Recognition in the Wild (2014)Combining Multiple Kernel Met…Deep learning for robust feature generation in audiovisual emotion recognition (2013)Deep learning for robust feat…Automatic, Dimensional and Continuous Emotion Recognition (2010)Automatic, Dimensional and Co…Analysis of emotion recognition using facial expressions, speech and multimodal information (2004)Analysis of emotion recogniti…A Concordance Correlation Coefficient to Evaluate Reproducibility (1989)A Concordance Correlation Coe…A Comprehensive Review of Multimodal Emotion Recognition: Techniques, Challenges, and Future Directions (2025)A Comprehensive Review of Mul…Using transformers for multimodal emotion recognition: Taxonomies and state of the art review (2024)Using transformers for multim…HiCMAE: Hierarchical Contrastive Masked Autoencoder for self-supervised Audio-Visual Emotion Recognition (2024)HiCMAE: Hierarchical Contrast…DER-GCN: Dialog and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialog Emotion Recognition (2024)DER-GCN: Dialog and Event Rel…SpeechFormer++: A Hierarchical Efficient Framework for Paralinguistic Speech Processing (2023)SpeechFormer++: A Hierarchica…Multimodal emotion recognition based on audio and text by using hybrid attention networks (2023)Multimodal emotion recognitio…A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods (2023)A review of multimodal emotio…Self-attention fusion for audiovisual emotion recognition with incomplete data (2022)Self-attention fusion for aud…Multi-Channel Weight-Sharing Autoencoder Based on Cascade Multi-Head Attention for Multimodal Emotion Recognition (2022)Multi-Channel Weight-Sharing …Key-Sparse Transformer for Multimodal Speech Emotion Recognition (2022)Key-Sparse Transformer for Mu…In search of a robust facial expressions recognition model: A large-scale visual cross-corpus study (2022)In search of a robust facial …A novel spatio-temporal convolutional neural framework for multimodal emotion recognition (2022)A novel spatio-temporal convo…Robust Multimodal Emotion Recognition from Conversation with Transformer-Based Crossmodality Fusion (2021)Robust Multimodal Emotion Rec…Multimodal Emotion Recognition With Temporal and Semantic Consistency (2021)Multimodal Emotion Recognitio…Transformer Encoder With Multi-Modal Multi-Head Attention for Continuous Affect Recognition (2020)Transformer Encoder With Mult…Multi-modal Continuous Dimensional Emotion Recognition Using Recurrent Neural Network and Self-Attention Mechanism (2020)Multi-modal Continuous Dimens…A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Collecting Large, Richly Annotated Facial-Expression Databases from Movies (2012)AVEC 2013 (2013)Ensemble of Deep Neural Networks with Probability-Based Fusion for Facial Expression Recognition (2017)Covariance Pooling for Facial Expression Recognition (2018)Facial Expression Recognition Using Computer Vision: A Systematic Review (2019)Toward detecting emotions in spoken dialogs (2005)IEMOCAP: interactive emotional dyadic motion capture database (2008)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition (2017)Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition (2017)Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network (2019)Emotion recognition in human-computer interaction (2001)Emotion Recognition From EEG Using Higher Order Crossings (2009)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)The Measurement of Meaning (1957)An approach to environmental psychology (1974)A circumplex model of affect. 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References

  • 1989A Concordance Correlation Coefficient to Evaluate Reproducibility8,782 cited
  • 2015The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing1,815 cited
  • 2004Analysis of emotion recognition using facial expressions, speech and multimodal information842 cited
  • 2016AVEC 2016505 cited
  • 2010Automatic, Dimensional and Continuous Emotion Recognition426 cited
  • 2013Deep learning for robust feature generation in audiovisual emotion recognition401 cited
  • 2017AVEC 2017332 cited
  • 2014Combining Multiple Kernel Methods on Riemannian Manifold for Emotion Recognition in the Wild202 cited

Cited by

  • 2023A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods144 cited
  • 2020Transformer Encoder With Multi-Modal Multi-Head Attention for Continuous Affect Recognition142 cited
  • 2024Using transformers for multimodal emotion recognition: Taxonomies and state of the art review123 cited
  • 2025A Comprehensive Review of Multimodal Emotion Recognition: Techniques, Challenges, and Future Directions114 cited
  • 2021Robust Multimodal Emotion Recognition from Conversation with Transformer-Based Crossmodality Fusion108 cited
  • 2024DER-GCN: Dialog and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialog Emotion Recognition

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93 cited
  • 2023SpeechFormer++: A Hierarchical Efficient Framework for Paralinguistic Speech Processing92 cited
  • 2022Key-Sparse Transformer for Multimodal Speech Emotion Recognition89 cited
  • 2020Multi-modal Continuous Dimensional Emotion Recognition Using Recurrent Neural Network and Self-Attention Mechanism81 cited
  • 2022In search of a robust facial expressions recognition model: A large-scale visual cross-corpus study81 cited
  • 2022Self-attention fusion for audiovisual emotion recognition with incomplete data77 cited
  • 2023Multimodal emotion recognition based on audio and text by using hybrid attention networks76 cited
  • 2024HiCMAE: Hierarchical Contrastive Masked Autoencoder for self-supervised Audio-Visual Emotion Recognition75 cited
  • 2021Multimodal Emotion Recognition With Temporal and Semantic Consistency71 cited
  • 2022A novel spatio-temporal convolutional neural framework for multimodal emotion recognition59 cited
  • 2022Multi-Channel Weight-Sharing Autoencoder Based on Cascade Multi-Head Attention for Multimodal Emotion Recognition56 cited