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Speech emotion recognition using the novel PEmoNet (Parallel Emotion Network)
16 references·1 citing·26 second hop
Speech emotion recognition using the novel PEmoNet (Parallel Emotion Network) (2023)Speech emotion recognition using the nove…Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM (2020)Clustering-Based Speech Emoti…Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network (2019)Speech Emotion Recognition Fr…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)The Ryerson Audio-Visual Data…Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Speech emotion recognition us…3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition (2018)3-D Convolutional Recurrent N…Speech Emotion Recognition from Spectrograms with Deep Convolutional Neural Network (2017)Speech Emotion Recognition fr…Evaluating deep learning architectures for Speech Emotion Recognition (2017)Evaluating deep learning arch…Automatic speech emotion recognition using recurrent neural networks with local attention (2017)Automatic speech emotion reco…Speech emotion recognition using convolutional and Recurrent Neural Networks (2016)Speech emotion recognition us…An experimental study of speech emotion recognition based on deep convolutional neural networks (2015)An experimental study of spee…Speech emotion recognition using deep neural network and extreme learning machine (2014)Speech emotion recognition us…Speech Emotion Recognition Using CNN (2014)Speech Emotion Recognition Us…Sparse Autoencoder-Based Feature Transfer Learning for Speech Emotion Recognition (2013)Sparse Autoencoder-Based Feat…Deep neural networks for acoustic emotion recognition: Raising the benchmarks (2011)Deep neural networks for acou…Speech emotion recognition based on HMM and SVM (2005)Speech emotion recognition ba…A database of German emotional speech (2005)A database of German emotiona…Speech Emotion Recognition Using Generative Adversarial Network and Deep Convolutional Neural Network (2023)Speech Emotion Recognition Us…Acoustic profiles in vocal emotion expression. (1996)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)The Singularity is Near (2014)Deep Learning for Human Affect Recognition: Insights and New Developments (2019)A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism (2021)IEMOCAP: interactive emotional dyadic motion capture database (2008)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)A Comprehensive Review of Speech Emotion Recognition Systems (2021)Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks (2014)Multimodal Speech Emotion Recognition Using Audio and Text (2018)Emotion recognition in human-computer interaction (2001)Emotion recognition using deep learning approach from audio–visual emotional big data (2018)A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition (2019)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)A systematic review on affective computing: emotion models, databases, and recent advances (2022)The Measurement of Observer Agreement for Categorical Data (1977)Intraclass correlations: Uses in assessing rater reliability. (1979)A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research (2016)Speech emotion recognition with deep convolutional neural networks (2020)Enhancements in Immediate Speech Emotion Detection: Harnessing Prosodic and Spectral Characteristics (2024)Practical Bayesian Optimization of Machine Learning Algorithms (2012)
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References

  • 2005A database of German emotional speech2,365 cited
  • 2018The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English1,898 cited
  • 2018Speech emotion recognition using deep 1D & 2D CNN LSTM networks1,044 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
  • 2017Evaluating deep learning architectures for Speech Emotion Recognition553 cited
  • 20183-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition503 cited
  • 2016Speech emotion recognition using convolutional and Recurrent Neural Networks422 cited
  • 2014Speech Emotion Recognition Using CNN416 cited
  • 2017Speech Emotion Recognition from Spectrograms with Deep Convolutional Neural Network414 cited
  • 2020Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM402 cited
  • 2013Sparse Autoencoder-Based Feature Transfer Learning for Speech Emotion Recognition366 cited
  • 2019Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network356 cited
  • 2011Deep neural networks for acoustic emotion recognition: Raising the benchmarks

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288 cited
  • 2005Speech emotion recognition based on HMM and SVM274 cited
  • 2015An experimental study of speech emotion recognition based on deep convolutional neural networks187 cited
  • Cited by

    • 2023Speech Emotion Recognition Using Generative Adversarial Network and Deep Convolutional Neural Network37 cited