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Speech Swin-Transformer: Exploring a Hierarchical Transformer with Shifted Windows for Speech Emotion Recognition
12 references·1 citing·39 second hop
Speech Swin-Transformer: Exploring a Hierarchical Transformer with Shifted Windows for Speech Emotion Recognition (2024)Speech Swin-Transformer: Exploring a Hier…SpeechFormer++: A Hierarchical Efficient Framework for Paralinguistic Speech Processing (2023)SpeechFormer++: A Hierarchica…RETRACTED ARTICLE: Speech Emotion Recognition: A Comprehensive Survey (2023)RETRACTED ARTICLE: Speech Emo…Speech Emotion Recognition via an Attentive Time–Frequency Neural Network (2022)Speech Emotion Recognition vi…Hybrid Curriculum Learning for Emotion Recognition in Conversation (2022)Hybrid Curriculum Learning fo…Domain Invariant Feature Learning for Speaker-Independent Speech Emotion Recognition (2022)Domain Invariant Feature Lear…A systematic literature review of speech emotion recognition approaches (2022)A systematic literature revie…Deep Learning Techniques for Speech Emotion Recognition, from Databases to Models (2021)Deep Learning Techniques for …A Novel end-to-end Speech Emotion Recognition Network with Stacked Transformer Layers (2021)A Novel end-to-end Speech Emo…A Comprehensive Review of Speech Emotion Recognition Systems (2021)A Comprehensive Review of Spe…Databases, features and classifiers for speech emotion recognition: a review (2018)Databases, features and class…Deep neural networks for acoustic emotion recognition: Raising the benchmarks (2011)Deep neural networks for acou…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…Speechformer-CTC: Sequential modeling of depression detection with speech temporal classification (2024)Speechformer-CTC: Sequential …A database of German emotional speech (2005)The eNTERFACE’05 Audio-Visual Emotion Database (2006)The INTERSPEECH 2009 emotion challenge (2009)Paralinguistics in speech and language—State-of-the-art and the challenge (2012)Attentive Convolutional Neural Network Based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech (2017)End-to-End Speech Emotion Recognition Using Deep Neural Networks (2018)Coefficient Alpha and the Internal Structure of Tests (1951)The Hidden Dimension (1973)Affective Computing (1997)A review of affective computing: From unimodal analysis to multimodal fusion (2017)The expression of the emotions in man and animals. (1872)A circumplex model of affect. (1980)Emotion And Adaptation (1991)Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network (2019)Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects (2023)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)An ensemble 1D-CNN-LSTM-GRU model with data augmentation for speech emotion recognition (2023)Emotion recognition from unimodal to multimodal analysis: A review (2023)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Speech Emotion Recognition Based on Multiple Acoustic Features and Deep Convolutional Neural Network (2023)Automatic speech emotion recognition using recurrent neural networks with local attention (2017)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)DWFormer: Dynamic Window Transformer for Speech Emotion Recognition (2023)Speech Emotion Recognition and Deep Learning: An Extensive Validation Using Convolutional Neural Networks (2023)Survey of deep emotion recognition in dynamic data using facial, speech and textual cues (2024)An argument for basic emotions (1992)An ongoing review of speech emotion recognition (2023)Facial expression and body gesture emotion recognition: A systematic review on the use of visual data in affective computing (2023)Using transformers for multimodal emotion recognition: Taxonomies and state of the art review (2024)Speech emotion recognition using deep neural network and extreme learning machine (2014)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)Evaluating raw waveforms with deep learning frameworks for speech emotion recognition (2025)The Distress Analysis Interview Corpus of human and computer interviews (2014)MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)ESERNet: Learning spectrogram structure relationship for effective speech emotion recognition with swin transformer in classroom discourse analysis (2024)Introducing the RECOLA multimodal corpus of remote collaborative and affective interactions (2013)Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review (2020)A review on speech emotion recognition: A survey, recent advances, challenges, and the influence of noise (2023)A comprehensive review of deep learning in EEG-based emotion recognition: classifications, trends, and practical implications (2024)
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References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2021A Comprehensive Review of Speech Emotion Recognition Systems380 cited
  • 2018Databases, features and classifiers for speech emotion recognition: a review356 cited
  • 2021Deep Learning Techniques for Speech Emotion Recognition, from Databases to Models294 cited
  • 2011Deep neural networks for acoustic emotion recognition: Raising the benchmarks288 cited
  • 2022A systematic literature review of speech emotion recognition approaches147 cited
  • 2023RETRACTED ARTICLE: Speech Emotion Recognition: A Comprehensive Survey94 cited
  • 2023SpeechFormer++: A Hierarchical Efficient Framework for Paralinguistic Speech Processing92 cited
  • 2022Domain Invariant Feature Learning for Speaker-Independent Speech Emotion Recognition66 cited
  • 2021A Novel end-to-end Speech Emotion Recognition Network with Stacked Transformer Layers56 cited
  • 2022Speech Emotion Recognition via an Attentive Time–Frequency Neural Network51 cited
  • 2022Hybrid Curriculum Learning for Emotion Recognition in Conversation49 cited

Cited by

  • 2024Speechformer-CTC: Sequential modeling of depression detection with speech temporal classification33 cited

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