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Multimodal graph learning with framelet-based stochastic configuration networks for emotion recognition in conversation
16 references·0 citing·29 second hop
Multimodal graph learning with framelet-based stochastic configuration networks for emotion recognition in conversation (2024)Multimodal graph learning with framelet-b…GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition (2023)GraphCFC: A Directed Graph Ba…GA2MIF: Graph and Attention Based Two-Stage Multi-Source Information Fusion for Conversational Emotion Detection (2023)GA2MIF: Graph and Attention B…MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations (2022)MM-DFN: Multimodal Dynamic Fu…MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation (2021)MMGCN: Multimodal Fusion via …DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations (2021)DialogueCRN: Contextual Reaso…Relation-aware Graph Attention Networks with Relational Position Encodings for Emotion Recognition in Conversations (2020)Relation-aware Graph Attentio…HiTrans: A Transformer-Based Context- and Speaker-Sensitive Model for Emotion Detection in Conversations (2020)HiTrans: A Transformer-Based …COSMIC: COmmonSense knowledge for eMotion Identification in Conversations (2020)COSMIC: COmmonSense knowledge…MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)MELD: A Multimodal Multi-Part…HiGRU: Hierarchical Gated Recurrent Units for Utterance-level Emotion Recognition (2019)HiGRU: Hierarchical Gated Rec…DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation (2019)DialogueGCN: A Graph Convolut…ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection (2018)ICON: Interactive Conversatio…Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos (2018)Conversational Memory Network…Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Recognising realistic emotion…Emotional Inertia and Psychological Maladjustment (2010)Emotional Inertia and Psychol…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)Society and the Adolescent Self-Image (1965)Book Review: Time Series Analysis: Forecasting and Control (1977)The CES-D Scale (1977)The relation between short-term emotion dynamics and psychological well-being: A meta-analysis. (2015)Why Do People Regulate Their Emotions? A Taxonomy of Motives in Emotion Regulation (2015)Mental disorders as networks of problems: a review of recent insights (2016)Coefficient Alpha and the Internal Structure of Tests (1951)The Hidden Dimension (1973)Affective Computing (1997)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)The Handbook of Conversation Analysis (2013)A review of affective computing: From unimodal analysis to multimodal fusion (2017)The chameleon effect: The perception–behavior link and social interaction. (1999)CTNet: Conversational Transformer Network for Emotion Recognition (2021)Measuring emotion: The self-assessment manikin and the semantic differential (1994)A systematic review on affective computing: emotion models, databases, and recent advances (2022)RoBERTa: A Robustly Optimized BERT Pretraining Approach (2019)M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation (2022)A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations (2023)Emotion recognition from unimodal to multimodal analysis: A review (2023)Training deep networks for facial expression recognition with crowd-sourced label distribution (2016)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)
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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
  • 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
  • 2010Emotional Inertia and Psychological Maladjustment729 cited
  • 2018Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos493 cited
  • 2018ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection464 cited
  • 2020COSMIC: COmmonSense knowledge for eMotion Identification in Conversations389 cited
  • 2021MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation338 cited
  • 2022MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations267 cited
  • 2021DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations257 cited
  • 2020Relation-aware Graph Attention Networks with Relational Position Encodings for Emotion Recognition in Conversations222 cited
  • 2023GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition145 cited
  • 2023

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GA2MIF: Graph and Attention Based Two-Stage Multi-Source Information Fusion for Conversational Emotion Detection
112 cited
  • 2020HiTrans: A Transformer-Based Context- and Speaker-Sensitive Model for Emotion Detection in Conversations93 cited
  • 2019HiGRU: Hierarchical Gated Recurrent Units for Utterance-level Emotion Recognition90 cited
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