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Towards the Explainability of Multimodal Speech Emotion Recognition
13 references·1 citing·45 second hop
Towards the Explainability of Multimodal Speech Emotion Recognition (2021)Towards the Explainability of Multimodal …Improve Accuracy of Speech Emotion Recognition with Attention Head Fusion (2020)Improve Accuracy of Speech Em…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…Learning Discriminative Features from Spectrograms Using Center Loss for Speech Emotion Recognition (2019)Learning Discriminative Featu…An Explainable Deep Fusion Network for Affect Recognition Using Physiological Signals (2019)An Explainable Deep Fusion Ne…The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) (2018)The Ryerson Audio-Visual Data…Multimodal Speech Emotion Recognition Using Audio and Text (2018)Multimodal Speech Emotion Rec…ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection (2018)ICON: Interactive Conversatio…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…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…A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)A Survey of Affect Recognitio…Interpretable multimodal emotion recognition using hybrid fusion of speech and image data (2023)Interpretable multimodal emot…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)Development and validation of brief measures of positive and negative affect: The PANAS scales. 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(1999)A review of affective computing: From unimodal analysis to multimodal fusion (2017)COSMIC: COmmonSense knowledge for eMotion Identification in Conversations (2020)CTNet: Conversational Transformer Network for Emotion Recognition (2021)MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation (2021)A circumplex model of affect. (1980)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)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)Speech emotion recognition using deep neural network and extreme learning machine (2014)Automatic speech emotion recognition using recurrent neural networks with local attention (2017)MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach (2020)Deep learning based multimodal emotion recognition using model-level fusion of audio–visual modalities (2022)Affective computing: challenges (2003)Efficient Speech Emotion Recognition Using Multi-Scale CNN and Attention (2021)Head Fusion: Improving the Accuracy and Robustness of Speech Emotion Recognition on the IEMOCAP and RAVDESS Dataset (2021)Survey on bimodal speech emotion recognition from acoustic and linguistic information fusion (2022)The INTERSPEECH 2009 emotion challenge (2009)Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition (2021)MemoCMT: multimodal emotion recognition using cross-modal transformer-based feature fusion (2025)MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech (2021)A Systematic Review on Multimodal Emotion Recognition: Building Blocks, Current State, Applications, and Challenges (2024)Speech Databases, Speech Features, and Classifiers in Speech Emotion Recognition: A Review (2024)
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References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2008A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions2,797 cited
  • 2017Evaluating deep learning architectures for Speech Emotion Recognition553 cited
  • 2018ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection464 cited
  • 2016MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception391 cited
  • 2018The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS)383 cited
  • 2018Multimodal Speech Emotion Recognition Using Audio and Text379 cited
  • 2018End-to-End Speech Emotion Recognition Using Deep Neural Networks289 cited
  • 2019Speech Emotion Recognition Using Multi-hop Attention Mechanism138 cited
  • 2019Self-Attention for Speech Emotion Recognition136 cited
  • 2019An Explainable Deep Fusion Network for Affect Recognition Using Physiological Signals92 cited
  • 2020Improve Accuracy of Speech Emotion Recognition with Attention Head Fusion77 cited
  • 2019Learning Discriminative Features from Spectrograms Using Center Loss for Speech Emotion Recognition58 cited

Cited by

  • 2023Interpretable multimodal emotion recognition using hybrid fusion of speech and image data50 cited

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