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MemoCMT: multimodal emotion recognition using cross-modal transformer-based feature fusion
13 references·1 citing·37 second hop
MemoCMT: multimodal emotion recognition using cross-modal transformer-based feature fusion (2025)MemoCMT: multimodal emotion recognition u…MSER: Multimodal speech emotion recognition using cross-attention with deep fusion (2023)MSER: Multimodal speech emoti…COGMEN: COntextualized GNN based Multimodal Emotion recognitioN (2022)COGMEN: COntextualized GNN ba…A multimodal hierarchical approach to speech emotion recognition from audio and text (2021)A multimodal hierarchical app…M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech Cues (2020)M3ER: Multiplicative Multimod…Speech Emotion Recognition Using Multi-hop Attention Mechanism (2019)Speech Emotion Recognition Us…Self-Attention for Speech Emotion Recognition (2019)Self-Attention for Speech Emo…MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)MELD: A Multimodal Multi-Part…End-to-End Speech Emotion Recognition Using Deep Neural Networks (2018)End-to-End Speech Emotion Rec…Evaluating deep learning architectures for Speech Emotion Recognition (2017)Evaluating deep learning arch…Automatic speech emotion recognition using recurrent neural networks with local attention (2017)Automatic speech emotion reco…A review of affective computing: From unimodal analysis to multimodal fusion (2017)A review of affective computi…Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Survey on speech emotion reco…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…CIME: Contextual Interaction-Based Multimodal Emotion Analysis With Enhanced Semantic Information (2025)CIME: Contextual Interaction-…Attention, intentions, and the structure of discourse (1986)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Emotion recognition in human-computer interaction (2001)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Coefficient Alpha and the Internal Structure of Tests (1951)The Hidden Dimension (1973)Affective Computing (1997)The expression of the emotions in man and animals. (1872)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda (2020)Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review (2020)Speech emotion recognition using deep neural network and extreme learning machine (2014)Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)A systematic review on affective computing: emotion models, databases, and recent advances (2022)A circumplex model of affect. (1980)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)A snapshot research and implementation of multimodal information fusion for data-driven emotion recognition (2019)A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism (2021)Leveraging recent advances in deep learning for audio-Visual emotion recognition (2021)Measuring emotion: The self-assessment manikin and the semantic differential (1994)COSMIC: COmmonSense knowledge for eMotion Identification in Conversations (2020)Facial and Vocal Expressions of Emotion (2002)EmotiCon: Context-Aware Multimodal Emotion Recognition Using Frege’s Principle (2020)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)Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos (2018)DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation (2019)MultiEMO: An Attention-Based Correlation-Aware Multimodal Fusion Framework for Emotion Recognition in Conversations (2023)A Systematic Review on Multimodal Emotion Recognition: Building Blocks, Current State, Applications, and Challenges (2024)DER-GCN: Dialog and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialog Emotion Recognition (2024)Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM (2020)A Review of Key Technologies for Emotion Analysis Using Multimodal Information (2024)Emotion recognition using deep learning approach from audio–visual emotional big data (2018)A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition (2019)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)
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References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2010Survey on speech emotion recognition: Features, classification schemes, and databases2,076 cited
  • 2017A review of affective computing: From unimodal analysis to multimodal fusion1,640 cited
  • 2019MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations1,413 cited
  • 2017Automatic speech emotion recognition using recurrent neural networks with local attention769 cited
  • 2017Evaluating deep learning architectures for Speech Emotion Recognition553 cited
  • 2018End-to-End Speech Emotion Recognition Using Deep Neural Networks289 cited
  • 2020M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech Cues261 cited
  • 2023MSER: Multimodal speech emotion recognition using cross-attention with deep fusion162 cited
  • 2022COGMEN: COntextualized GNN based Multimodal Emotion recognitioN160 cited
  • 2019Speech Emotion Recognition Using Multi-hop Attention Mechanism138 cited
  • 2019Self-Attention for Speech Emotion Recognition136 cited
  • 2021A multimodal hierarchical approach to speech emotion recognition from audio and text115 cited

Cited by

  • 2025CIME: Contextual Interaction-Based Multimodal Emotion Analysis With Enhanced Semantic Information

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54 cited