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Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM
10 references·16 citing·35 second hop
Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM (2020)Clustering-Based Speech Emotion Recogniti…Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)Speech Emotion Recognition Us…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…3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition (2018)3-D Convolutional Recurrent N…Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching (2017)Speech Emotion Recognition Us…End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)End-to-End Multimodal Emotion…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…Introducing the RECOLA multimodal corpus of remote collaborative and affective interactions (2013)Introducing the RECOLA multim…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 Based on Multiple Acoustic Features and Deep Convolutional Neural Network (2023)Speech Emotion Recognition Ba…MSER: Multimodal speech emotion recognition using cross-attention with deep fusion (2023)MSER: Multimodal speech emoti…An ensemble 1D-CNN-LSTM-GRU model with data augmentation for speech emotion recognition (2023)An ensemble 1D-CNN-LSTM-GRU m…Speech Emotion Recognition Using Self-Supervised Features (2022)Speech Emotion Recognition Us…Robust Speech Emotion Recognition Using CNN+LSTM Based on Stochastic Fractal Search Optimization Algorithm (2022)Robust Speech Emotion Recogni…EEG-Based Emotion Recognition Using Spatial-Temporal Graph Convolutional LSTM With Attention Mechanism (2022)EEG-Based Emotion Recognition…Automated emotion recognition: Current trends and future perspectives (2022)Automated emotion recognition…A systematic literature review of speech emotion recognition approaches (2022)A systematic literature revie…Attention guided 3D CNN-LSTM model for accurate speech based emotion recognition (2021)Attention guided 3D CNN-LSTM …Att-Net: Enhanced emotion recognition system using lightweight self-attention module (2021)Att-Net: Enhanced emotion rec…A Comprehensive Review of Speech Emotion Recognition Systems (2021)A Comprehensive Review of Spe…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…Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques (2020)Automated accurate speech emo…Acoustic profiles in vocal emotion expression. 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(1979)A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research (2016)Speech emotion recognition with deep convolutional neural networks (2020)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)Enhancements in Immediate Speech Emotion Detection: Harnessing Prosodic and Spectral Characteristics (2024)Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network (2019)A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism (2021)What are emotions? And how can they be measured? (2005)Emotion Recognition for Human-Robot Interaction: Recent Advances and Future Perspectives (2020)Automatic speech emotion recognition using recurrent neural networks with local attention (2017)
this work references cited by second hop

References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 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
  • 2014Speech emotion recognition using deep neural network and extreme learning machine822 cited
  • 2013Introducing the RECOLA multimodal corpus of remote collaborative and affective interactions776 cited
  • 2017End-to-End Multimodal Emotion Recognition Using Deep Neural Networks749 cited
  • 2019Speech Emotion Recognition Using Deep Learning Techniques: A Review689 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
  • 2017Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching443 cited

Cited by

  • 2021A Comprehensive Review of Speech Emotion Recognition Systems380 cited
  • 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

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2022
Robust Speech Emotion Recognition Using CNN+LSTM Based on Stochastic Fractal Search Optimization Algorithm
194 cited
  • 2020Deep-Net: A Lightweight CNN-Based Speech Emotion Recognition System Using Deep Frequency Features174 cited
  • 2022Automated emotion recognition: Current trends and future perspectives172 cited
  • 2022EEG-Based Emotion Recognition Using Spatial-Temporal Graph Convolutional LSTM With Attention Mechanism165 cited
  • 2023MSER: Multimodal speech emotion recognition using cross-attention with deep fusion162 cited
  • 2020Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques157 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
  • 2022A systematic literature review of speech emotion recognition approaches147 cited
  • 2020CLSTM: Deep Feature-Based Speech Emotion Recognition Using the Hierarchical ConvLSTM Network145 cited
  • 2022Speech Emotion Recognition Using Self-Supervised Features139 cited
  • 2020Impact of Feature Selection Algorithm on Speech Emotion Recognition Using Deep Convolutional Neural Network136 cited
  • 2021Attention guided 3D CNN-LSTM model for accurate speech based emotion recognition130 cited