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Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network
14 references·16 citing·30 second hop
Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network (2019)Speech Emotion Recognition From 3D Log-Me…Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Speech emotion recognition us…Databases, features and classifiers for speech emotion recognition: a review (2018)Databases, features and class…3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition (2018)3-D Convolutional Recurrent N…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…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…Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks (2014)Learning Salient Features for…The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism (2013)The INTERSPEECH 2013 computat…Deep learning for robust feature generation in audiovisual emotion recognition (2013)Deep learning for robust feat…Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Survey on speech emotion reco…OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit (2009)OpenEAR — Introducing the mun…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…A database of German emotional speech (2005)A database of German emotiona…Speech emotion recognition using machine learning — A systematic review (2023)Speech emotion recognition us…Speech Emotion Recognition Based on Multiple Acoustic Features and Deep Convolutional Neural Network (2023)Speech Emotion Recognition Ba…An ongoing review of speech emotion recognition (2023)An ongoing review of speech e…An ensemble 1D-CNN-LSTM-GRU model with data augmentation for speech emotion recognition (2023)An ensemble 1D-CNN-LSTM-GRU m…Robust Speech Emotion Recognition Using CNN+LSTM Based on Stochastic Fractal Search Optimization Algorithm (2022)Robust Speech Emotion Recogni…Learning multi-scale features for speech emotion recognition with connection attention mechanism (2022)Learning multi-scale features…Optimal feature selection based speech emotion recognition using two‐stream deep convolutional neural network (2021)Optimal feature selection bas…Deep learning approaches for speech emotion recognition: state of the art and research challenges (2021)Deep learning approaches for …Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition (2021)Combining a parallel 2D CNN w…Att-Net: Enhanced emotion recognition system using lightweight self-attention module (2021)Att-Net: Enhanced emotion rec…Speech emotion recognition using fusion of three multi-task learning-based classifiers: HSF-DNN, MS-CNN and LLD-RNN (2020)Speech emotion recognition us…MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach (2020)MLT-DNet: Speech emotion reco…Impact of Feature Selection Algorithm on Speech Emotion Recognition Using Deep Convolutional Neural Network (2020)Impact of Feature Selection A…Deep-Net: A Lightweight CNN-Based Speech Emotion Recognition System Using Deep Frequency Features (2020)Deep-Net: A Lightweight CNN-B…CLSTM: Deep Feature-Based Speech Emotion Recognition Using the Hierarchical ConvLSTM Network (2020)CLSTM: Deep Feature-Based Spe…A modified feature selection method based on metaheuristic algorithms for speech emotion recognition (2020)A modified feature selection …Acoustic profiles in vocal emotion expression. (1996)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)Attention, intentions, and the structure of discourse (1986)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Emotion recognition in human-computer interaction (2001)A review of affective computing: From unimodal analysis to multimodal fusion (2017)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Evaluating deep learning architectures for Speech Emotion Recognition (2017)Speech emotion recognition (2018)Using uh and um in spontaneous speaking (2002)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)AVEC 2016 (2016)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)Social Signal Processing (2017)Automated assessment of psychiatric disorders using speech: A systematic review (2020)Coefficient Alpha and the Internal Structure of Tests (1951)The Hidden Dimension (1973)Affective Computing (1997)MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)A Concordance Correlation Coefficient to Evaluate Reproducibility (1989)Vocal communication of emotion: A review of research paradigms (2003)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)Practical Bayesian Optimization of Machine Learning Algorithms (2012)Speech emotion recognition with deep convolutional neural networks (2020)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)A systematic review on affective computing: emotion models, databases, and recent advances (2022)A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition (2019)Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM (2020)A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism (2021)
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References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2005A database of German emotional speech2,365 cited
  • 2010Survey on speech emotion recognition: Features, classification schemes, and databases2,076 cited
  • 2018Speech emotion recognition using deep 1D & 2D CNN LSTM networks1,044 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
  • 2013The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism733 cited
  • 2014Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks567 cited
  • 20183-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition503 cited
  • 2009OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit418 cited
  • 2014Speech Emotion Recognition Using CNN416 cited
  • 2013Deep learning for robust feature generation in audiovisual emotion recognition401 cited
  • 2018Databases, features and classifiers for speech emotion recognition: a review

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356 cited

Cited by

  • 2020MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach205 cited
  • 2023An ensemble 1D-CNN-LSTM-GRU model with data augmentation for speech emotion recognition197 cited
  • 2022Robust Speech Emotion Recognition Using CNN+LSTM Based on Stochastic Fractal Search Optimization Algorithm194 cited
  • 2020Deep-Net: A Lightweight CNN-Based Speech Emotion Recognition System Using Deep Frequency Features174 cited
  • 2020Speech emotion recognition using fusion of three multi-task learning-based classifiers: HSF-DNN, MS-CNN and LLD-RNN152 cited
  • 2023Speech Emotion Recognition Based on Multiple Acoustic Features and Deep Convolutional Neural Network152 cited
  • 2021Att-Net: Enhanced emotion recognition system using lightweight self-attention module148 cited
  • 2020CLSTM: Deep Feature-Based Speech Emotion Recognition Using the Hierarchical ConvLSTM Network145 cited
  • 2023Speech emotion recognition using machine learning — A systematic review137 cited
  • 2020Impact of Feature Selection Algorithm on Speech Emotion Recognition Using Deep Convolutional Neural Network136 cited
  • 2023An ongoing review of speech emotion recognition124 cited
  • 2021Deep learning approaches for speech emotion recognition: state of the art and research challenges116 cited
  • 2021Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition105 cited
  • 2021Optimal feature selection based speech emotion recognition using two‐stream deep convolutional neural network102 cited
  • 2022Learning multi-scale features for speech emotion recognition with connection attention mechanism99 cited
  • 2020A modified feature selection method based on metaheuristic algorithms for speech emotion recognition98 cited