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MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox
7 references·0 citing·33 second hop
MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox (2021)MuSe-Toolbox: The Multimodal Sentiment An…The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvements (2021)The Multimodal Sentiment Anal…Multi-modal Continuous Dimensional Emotion Recognition Using Recurrent Neural Network and Self-Attention Mechanism (2020)Multi-modal Continuous Dimens…AVEC 2017 (2017)AVEC 2017Introducing the RECOLA multimodal corpus of remote collaborative and affective interactions (2013)Introducing the RECOLA multim…Evaluation of natural emotions using self assessment manikins (2005)Evaluation of natural emotion…An argument for basic emotions (1992)An argument for basic emotionsA circumplex model of affect. (1980)A circumplex model of affect.The expression of the emotions in man and animals. (1872)Nebraska Symposium on Motivation: 1955 (1957)Emotion And Adaptation (1991)The Emerging Field of Emotion Regulation: An Integrative Review (1998)Well-being : the foundations of hedonic psychology (1999)Handbook of Positive Psychology (2001)Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research (1988)Measuring emotion: The self-assessment manikin and the semantic differential (1994)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)Toward computers that recognize and respond to user emotion (2000)Recognizing emotion in speech (2002)Describing the emotional states that are expressed in speech (2003)A survey of affect recognition methods (2007)AV+EC 2015 (2015)AVEC 2018 Workshop and Challenge (2018)The Principles of Psychology (1891)Hedges: A Study in Meaning Criteria and the Logic of Fuzzy Concepts (1975)The robust beauty of improper linear models in decision making. (1979)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Culture and the Self: Implications for Cognition, Emotion, and Motivation (1991)A Concordance Correlation Coefficient to Evaluate Reproducibility (1989)The PHQ-8 as a measure of current depression in the general population (2008)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)Automated depression analysis using convolutional neural networks from speech (2018)Deep learning for depression recognition with audiovisual cues: A review (2021)MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech (2021)A review of affective computing: From unimodal analysis to multimodal fusion (2017)From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos (2024)HiCMAE: Hierarchical Contrastive Masked Autoencoder for self-supervised Audio-Visual Emotion Recognition (2024)IEMOCAP: interactive emotional dyadic motion capture database (2008)Social Science for Natural Language Processing: A Hostile Narrative Analysis Prototype (2021)
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References

  • 1980A circumplex model of affect.16,320 cited
  • 1992An argument for basic emotions9,642 cited
  • 2013Introducing the RECOLA multimodal corpus of remote collaborative and affective interactions776 cited
  • 2017AVEC 2017332 cited
  • 2005Evaluation of natural emotions using self assessment manikins181 cited
  • 2021The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvements91 cited
  • 2020Multi-modal Continuous Dimensional Emotion Recognition Using Recurrent Neural Network and Self-Attention Mechanism81 cited

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