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Memobert: Pre-Training Model with Prompt-Based Learning for Multimodal Emotion Recognition
7 references·1 citing·37 second hop
Memobert: Pre-Training Model with Prompt-Based Learning for Multimodal Emotion Recognition (2022)Memobert: Pre-Training Model with Prompt-…Semi-supervised Multi-modal Emotion Recognition with Cross-Modal Distribution Matching (2020)Semi-supervised Multi-modal E…Multi-Modal Attention for Speech Emotion Recognition (2020)Multi-Modal Attention for Spe…Training deep networks for facial expression recognition with crowd-sourced label distribution (2016)Training deep networks for fa…MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception (2016)MSP-IMPROV: An Acted Corpus o…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…Emotion recognition in human–computer interaction (2005)Emotion recognition in human–…Emotion recognition in human-computer interaction (2001)Emotion recognition in human-…MDKAT: Multimodal Decoupling With Knowledge Aggregation and Transfer for Video Emotion Recognition (2025)MDKAT: Multimodal Decoupling …The expression of the emotions in man and animals. (1872)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Emotion And Adaptation (1991)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English (2018)Facial Action Coding System (1978)The nature of emotion: Fundamental questions. (1994)Core affect, prototypical emotional episodes, and other things called emotion: Dissecting the elephant. (1999)Primitives-based evaluation and estimation of emotions in speech (2007)The Role of Nonlinear Dynamics in Affective Valence and Arousal Recognition (2011)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)MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)Acoustic profiles in vocal emotion expression. (1996)A database of German emotional speech (2005)Building Naturalistic Emotionally Balanced Speech Corpus by Retrieving Emotional Speech from Existing Podcast Recordings (2017)K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations (2020)Multimodal Emotion Recognition with Deep Learning: Advancements, challenges, and future directions (2023)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)An argument for basic emotions (1992)Contextual and Cross-Modal Interaction for Multi-Modal Speech Emotion Recognition (2022)SpeechFormer: A Hierarchical Efficient Framework Incorporating the Characteristics of Speech (2022)Semantic Alignment Network for Multi-Modal Emotion Recognition (2023)Solving the Emotion Paradox: Categorization and the Experience of Emotion (2006)A review of affective computing: From unimodal analysis to multimodal fusion (2017)A multimodal emotion recognition model integrating speech, video and MoCAP (2022)Key-Sparse Transformer for Multimodal Speech Emotion Recognition (2022)Multi-modal speech emotion recognition using self-attention mechanism and multi-scale fusion framework (2022)COVAREP — A collaborative voice analysis repository for speech technologies (2014)Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition (2017)Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching (2017)
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References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2001Emotion recognition in human-computer interaction2,610 cited
  • 2016Training deep networks for facial expression recognition with crowd-sourced label distribution925 cited
  • 2005Emotion recognition in human–computer interaction412 cited
  • 2016MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception391 cited
  • 2020Multi-Modal Attention for Speech Emotion Recognition95 cited
  • 2020Semi-supervised Multi-modal Emotion Recognition with Cross-Modal Distribution Matching73 cited

Cited by

  • 2025MDKAT: Multimodal Decoupling With Knowledge Aggregation and Transfer for Video Emotion Recognition35 cited

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