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Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition
11 references·0 citing·38 second hop
Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition (2023)Revisiting Disentanglement and Fusion on …Towards Motivational and Empathetic Response Generation in Online Mental Health Support (2022)Towards Motivational and Empa…MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations (2022)MM-DFN: Multimodal Dynamic Fu…M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation (2022)M2FNet: Multi-modal Fusion Ne…Disentangled Representation Learning for Multimodal Emotion Recognition (2022)Disentangled Representation L…CTNet: Conversational Transformer Network for Emotion Recognition (2021)CTNet: Conversational Transfo…MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)MELD: A Multimodal Multi-Part…DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation (2019)DialogueGCN: A Graph Convolut…Training deep networks for facial expression recognition with crowd-sourced label distribution (2016)Training deep networks for fa…Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Recognising realistic emotion…Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies (2010)Cross-Corpus Acoustic Emotion…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…Cognitive representations of semantic categories. (1975)An effect size primer: A guide for clinicians and researchers. (2009)Praat: Doing Phonetics by Computer (2011)Ambulatory Assessment (2012)The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism (2013)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)Affective Computing (1997)Emotion recognition in human-computer interaction (2001)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Deep neural networks for acoustic emotion recognition: Raising the benchmarks (2011)Sparse Autoencoder-Based Feature Transfer Learning for Speech Emotion Recognition (2013)Emotion Recognition in Speech using Cross-Modal Transfer in the Wild (2018)Coefficient Alpha and the Internal Structure of Tests (1951)The Hidden Dimension (1973)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Facial Action Coding System (1978)CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset (2014)What you Feel, Is what you like Influence of Message Appeals on Customer Engagement on Instagram (2019)Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition (2020)Suppressing Uncertainties for Large-Scale Facial Expression Recognition (2020)Measuring emotion: The self-assessment manikin and the semantic differential (1994)A review of affective computing: From unimodal analysis to multimodal fusion (2017)COSMIC: COmmonSense knowledge for eMotion Identification in Conversations (2020)A systematic review on affective computing: emotion models, databases, and recent advances (2022)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)A Survey of Deep Learning-Based Multimodal Emotion Recognition: Speech, Text, and Face (2023)Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects (2023)Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals (2023)Toward detecting emotions in spoken dialogs (2005)Emotion Recognition Using Different Sensors, Emotion Models, Methods and Datasets: A Comprehensive Review (2023)MultiEMO: An Attention-Based Correlation-Aware Multimodal Fusion Framework for Emotion Recognition in Conversations (2023)A Comprehensive Review of Multimodal Emotion Recognition: Techniques, Challenges, and Future Directions (2025)MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation (2021)A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations (2023)MSER: Multimodal speech emotion recognition using cross-attention with deep fusion (2023)Multimodal emotion recognition using cross modal audio-video fusion with attention and deep metric learning (2023)Decoupled Multimodal Distilling for Emotion Recognition (2023)Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion (2023)
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References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2019MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations1,413 cited
  • 2016Training deep networks for facial expression recognition with crowd-sourced label distribution925 cited
  • 2019DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation763 cited
  • 2011Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge760 cited
  • 2010Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies389 cited
  • 2021CTNet: Conversational Transformer Network for Emotion Recognition299 cited
  • 2022Disentangled Representation Learning for Multimodal Emotion Recognition273 cited
  • 2022MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations267 cited
  • 2022M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation169 cited
  • 2022Towards Motivational and Empathetic Response Generation in Online Mental Health Support39 cited

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