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Advanced Fusion-Based Speech Emotion Recognition System Using a Dual-Attention Mechanism with Conv-Caps and Bi-GRU Features
16 references·0 citing·24 second hop
Advanced Fusion-Based Speech Emotion Recognition System Using a Dual-Attention Mechanism with Conv-Caps and Bi-GRU Features (2022)Advanced Fusion-Based Speech Emotion Reco…Speech emotion recognition with deep convolutional neural networks (2020)Speech emotion recognition wi…Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM (2020)Clustering-Based Speech Emoti…Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)Speech emotion recognition: E…A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition (2019)A CNN-Assisted Enhanced Audio…3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition (2018)3-D Convolutional Recurrent N…Evaluating deep learning architectures for Speech Emotion Recognition (2017)Evaluating deep learning arch…End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)End-to-End Multimodal Emotion…Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms (2017)Efficient Emotion Recognition…Automatic speech emotion recognition using recurrent neural networks with local attention (2017)Automatic speech emotion reco…Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)Adieu features? End-to-end sp…The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)The Geneva Minimalistic Acous…High-level feature representation using recurrent neural network for speech emotion recognition (2015)High-level feature representa…Speech emotion recognition using deep neural network and extreme learning machine (2014)Speech emotion recognition us…Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks (2014)Learning Salient Features for…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…A database of German emotional speech (2005)A database of German emotiona…Acoustic profiles in vocal emotion expression. (1996)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Speech emotion recognition (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)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)Praat, a system for doing phonetics by computer (2002)Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review (2020)A Concordance Correlation Coefficient to Evaluate Reproducibility (1989)Vocal communication of emotion: A review of research paradigms (2003)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)A Comprehensive Review of Speech Emotion Recognition Systems (2021)Deep Learning Techniques for Speech Emotion Recognition, from Databases to Models (2021)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)Emotion Recognition from Speech Using wav2vec 2.0 Embeddings (2021)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)Multimodal Emotion Recognition with Deep Learning: Advancements, challenges, and future directions (2023)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)A systematic review on affective computing: emotion models, databases, and recent advances (2022)
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References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2005A database of German emotional speech2,365 cited
  • 2015The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing1,815 cited
  • 2016Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network905 cited
  • 2014Speech emotion recognition using deep neural network and extreme learning machine822 cited
  • 2017Automatic speech emotion recognition using recurrent neural networks with local attention769 cited
  • 2017End-to-End Multimodal Emotion Recognition Using Deep Neural Networks749 cited
  • 2019Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers725 cited
  • 2020Speech emotion recognition with deep convolutional neural networks621 cited
  • 2014Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks567 cited
  • 2017Evaluating deep learning architectures for Speech Emotion Recognition553 cited
  • 20183-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition503 cited
  • 2017Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms422 cited
  • 2015High-level feature representation using recurrent neural network for speech emotion recognition

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406 cited
  • 2020Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM402 cited
  • 2019A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition393 cited
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