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Vesper: A Compact and Effective Pretrained Model for Speech Emotion Recognition
10 references·1 citing·37 second hop
Vesper: A Compact and Effective Pretrained Model for Speech Emotion Recognition (2024)Vesper: A Compact and Effective Pretraine…Exploring Wav2vec 2.0 Fine Tuning for Improved Speech Emotion Recognition (2023)Exploring Wav2vec 2.0 Fine Tu…Survey on bimodal speech emotion recognition from acoustic and linguistic information fusion (2022)Survey on bimodal speech emot…Speech Emotion Recognition with Co-Attention Based Multi-Level Acoustic Information (2022)Speech Emotion Recognition wi…MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)MELD: A Multimodal Multi-Part…HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)HISTORIAE, History of Socio-C…CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset (2014)CREMA-D: Crowd-Sourced Emotio…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…Emotion recognition by speech signals (2003)Emotion recognition by speech…A Stochastic Approximation Method (1951)A Stochastic Approximation Me…Enhancing Multimodal Emotion Recognition through Attention Mechanisms in BERT and CNN Architectures (2024)Enhancing Multimodal Emotion …Psychological Assessment Resources (1995)Comprehensive database for facial expression analysis (2002)MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception (2016)Training deep networks for facial expression recognition with crowd-sourced label distribution (2016)MEAD: A Large-Scale Audio-Visual Dataset for Emotional Talking-Face Generation (2020)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)Measuring emotion: The self-assessment manikin and the semantic differential (1994)A review of affective computing: From unimodal analysis to multimodal fusion (2017)DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation (2019)COSMIC: COmmonSense knowledge for eMotion Identification in Conversations (2020)A systematic review on affective computing: emotion models, databases, and recent advances (2022)A circumplex model of affect. (1980)An argument for basic emotions (1992)Deep Learning Approaches for Bimodal Speech Emotion Recognition: Advancements, Challenges, and a Multi-Learning Model (2023)Multimodal transformer augmented fusion for speech emotion recognition (2023)Speech emotion recognition approaches: A systematic review (2023)3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition (2018)Multimodal Emotion Detection via Attention-Based Fusion of Extracted Facial and Speech Features (2023)SpeechFormer++: A Hierarchical Efficient Framework for Paralinguistic Speech Processing (2023)Speech emotion recognition using deep neural network and extreme learning machine (2014)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)MoodSensing: A smartphone app for digital phenotyping and assessment of bipolar disorder (2024)Some aspects of the sequential design of experiments (1952)Stochastic Estimation of the Maximum of a Regression Function (1952)mirt : A Multidimensional Item Response Theory Package for the R Environment (2012)LEGAL-BERT: The Muppets straight out of Law School (2020)On the Opportunities and Risks of Foundation Models (2021)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Class-level spectral features for emotion recognition (2010)Databases, features and classifiers for speech emotion recognition: a review (2018)A Survey of Deep Learning-Based Multimodal Emotion Recognition: Speech, Text, and Face (2023)
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References

  • 2019HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case16,511 cited
  • 1951A Stochastic Approximation Method9,630 cited
  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2010Survey on speech emotion recognition: Features, classification schemes, and databases2,076 cited
  • 2019MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations1,413 cited
  • 2014CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset925 cited
  • 2003Emotion recognition by speech signals366 cited
  • 2022Speech Emotion Recognition with Co-Attention Based Multi-Level Acoustic Information184 cited
  • 2023Exploring Wav2vec 2.0 Fine Tuning for Improved Speech Emotion Recognition157 cited
  • 2022Survey on bimodal speech emotion recognition from acoustic and linguistic information fusion116 cited

Cited by

  • 2024Enhancing Multimodal Emotion Recognition through Attention Mechanisms in BERT and CNN Architectures49 cited

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