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A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition
7 references·16 citing·34 second hopsampled
A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition (2019)A CNN-Assisted Enhanced Audio Signal Proc…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…Evaluating deep learning architectures for Speech Emotion Recognition (2017)Evaluating deep learning arch…Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)Adieu features? End-to-end sp…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…Speech Emotion Recognition Based on Multiple Acoustic Features and Deep Convolutional Neural Network (2023)Speech Emotion Recognition Ba…Emotion recognition based on brain-like multimodal hierarchical perception (2023)Emotion recognition based on …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…Depression Detection from Social Media Text Analysis using Natural Language Processing Techniques and Hybrid Deep Learning Model (2022)Depression Detection from Soc…A systematic literature review of speech emotion recognition approaches (2022)A systematic literature revie…Optimal feature selection based speech emotion recognition using two‐stream deep convolutional neural network (2021)Optimal feature selection bas…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 Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism (2021)A Review on Speech Emotion Re…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…Federated Learning Meets Human Emotions: A Decentralized Framework for Human–Computer Interaction for IoT Applications (2020)Federated Learning Meets Huma…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…A database of German emotional speech (2005)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)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)Automatic speech emotion recognition using recurrent neural networks with local attention (2017)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)Emotion recognition in human-computer interaction (2001)Emotion recognition using deep learning approach from audio–visual emotional big data (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)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)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)A multimodal fusion model with multi-level attention mechanism for depression detection (2022)Automated emotion recognition: Current trends and future perspectives (2022)Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-Expressions (2019)Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM (2020)Deep Learning Techniques for Speech Emotion Recognition, from Databases to Models (2021)Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network (2019)Emotion recognition from unimodal to multimodal analysis: A review (2023)An ongoing review of speech emotion recognition (2023)Speech emotion recognition using machine learning — A systematic review (2023)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 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
  • 2016Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network905 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
  • 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
  • 2021A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism231 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
  • 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 Features

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174 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
  • 2022Depression Detection from Social Media Text Analysis using Natural Language Processing Techniques and Hybrid Deep Learning Model139 cited
  • 2021Attention guided 3D CNN-LSTM model for accurate speech based emotion recognition130 cited
  • 2023Emotion recognition based on brain-like multimodal hierarchical perception109 cited
  • 2020Federated Learning Meets Human Emotions: A Decentralized Framework for Human–Computer Interaction for IoT Applications108 cited
  • 2021Optimal feature selection based speech emotion recognition using two‐stream deep convolutional neural network102 cited