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Interpretable multimodal emotion recognition using hybrid fusion of speech and image data
14 references·0 citing·46 second hop
Interpretable multimodal emotion recognition using hybrid fusion of speech and image data (2023)Interpretable multimodal emotion recognit…Towards the Explainability of Multimodal Speech Emotion Recognition (2021)Towards the Explainability of…Multimodal Emotion Recognition with High-Level Speech and Text Features (2021)Multimodal Emotion Recognitio…Multi-Modal Emotion Recognition by Fusing Correlation Features of Speech-Visual (2021)Multi-Modal Emotion Recogniti…Jointly Fine-Tuning “BERT-Like” Self Supervised Models to Improve Multimodal Speech Emotion Recognition (2020)Jointly Fine-Tuning “BERT-Lik…Improve Accuracy of Speech Emotion Recognition with Attention Head Fusion (2020)Improve Accuracy of Speech Em…Learning Discriminative Features from Spectrograms Using Center Loss for Speech Emotion Recognition (2019)Learning Discriminative Featu…A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition (2019)A CNN-Assisted Enhanced Audio…Speech Emotion Recognition Using Spectrogram & Phoneme Embedding (2018)Speech Emotion Recognition Us…Emotion recognition using deep learning approach from audio–visual emotional big data (2018)Emotion recognition using dee…Building Emotional Machines: Recognizing Image Emotions Through Deep Neural Networks (2018)Building Emotional Machines: …A review of affective computing: From unimodal analysis to multimodal fusion (2017)A review of affective computi…Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark (2016)Building a Large Scale Datase…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…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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End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)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)MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach (2020)A Comprehensive Review of Speech Emotion Recognition Systems (2021)A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism (2021)HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)Key-Sparse Transformer for Multimodal Speech Emotion Recognition (2022)Survey on bimodal speech emotion recognition from acoustic and linguistic information fusion (2022)Speech emotion recognition using hidden Markov models (2003)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)A novel dual-modal emotion recognition algorithm with fusing hybrid features of audio signal and speech context (2022)Multimodal Emotion Recognition Using Transfer Learning from Speaker Recognition and BERT-Based Models (2022)A systematic review of trimodal affective computing approaches: Text, audio, and visual integration in emotion recognition and sentiment analysis (2024)3D CNN-Based Speech Emotion Recognition Using K-Means Clustering and Spectrograms (2019)A survey of speech emotion recognition in natural environment (2020)Speech emotion recognition using fusion of three multi-task learning-based classifiers: HSF-DNN, MS-CNN and LLD-RNN (2020)
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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
  • 2017A review of affective computing: From unimodal analysis to multimodal fusion1,640 cited
  • 2018Emotion recognition using deep learning approach from audio–visual emotional big data454 cited
  • 2019A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition393 cited
  • 2016Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark357 cited
  • 2018Speech Emotion Recognition Using Spectrogram & Phoneme Embedding165 cited
  • 2020Jointly Fine-Tuning “BERT-Like” Self Supervised Models to Improve Multimodal Speech Emotion Recognition117 cited
  • 2018Building Emotional Machines: Recognizing Image Emotions Through Deep Neural Networks97 cited
  • 2021Multimodal Emotion Recognition with High-Level Speech and Text Features89 cited
  • 2020Improve Accuracy of Speech Emotion Recognition with Attention Head Fusion77 cited
  • 2021Multi-Modal Emotion Recognition by Fusing Correlation Features of Speech-Visual68 cited
  • 2019Learning Discriminative Features from Spectrograms Using Center Loss for Speech Emotion Recognition58 cited
  • 2021Towards the Explainability of Multimodal Speech Emotion Recognition

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