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Speech emotion recognition model based on Bi-GRU and Focal Loss
9 references·5 citing·36 second hop
Speech emotion recognition model based on Bi-GRU and Focal Loss (2020)Speech emotion recognition model based on…Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Speech emotion recognition us…Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching (2017)Speech Emotion Recognition Us…Semisupervised Autoencoders for Speech Emotion Recognition (2017)Semisupervised Autoencoders f…Evaluating deep learning architectures for Speech Emotion Recognition (2017)Evaluating deep learning arch…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…Attentive Convolutional Neural Network Based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech (2017)Attentive Convolutional Neura…Speech emotion recognition using convolutional and Recurrent Neural Networks (2016)Speech emotion recognition us…Towards real-time Speech Emotion Recognition using deep neural networks (2015)Towards real-time Speech Emot…MSA-GCN: Multiscale Adaptive Graph Convolution Network for gait emotion recognition (2023)MSA-GCN: Multiscale Adaptive …Attention-Based Multi-Learning Approach for Speech Emotion Recognition With Dilated Convolution (2022)Attention-Based Multi-Learnin…Advanced Fusion-Based Speech Emotion Recognition System Using a Dual-Attention Mechanism with Conv-Caps and Bi-GRU Features (2022)Advanced Fusion-Based Speech …Extracting Information on Affective Computing Research from Data Analysis of Known Digital Platforms: Research into Emotional Artificial Intelligence (2021)Extracting Information on Aff…EEG-Based Emotion Recognition Using an Improved Weighted Horizontal Visibility Graph (2021)EEG-Based Emotion Recognition…Emotion recognition in human-computer interaction (2001)Emotional speech recognition: Resources, features, and methods (2006)Speech emotion recognition using deep neural network and extreme learning machine (2014)Enhanced speech emotion detection using deep neural networks (2018)Human-Computer Interaction with Detection of Speaker Emotions Using Convolution Neural Networks (2022)Speech emotion recognition approaches: A systematic review (2023)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)Deep Learning for Human Affect Recognition: Insights and New Developments (2019)A Comprehensive Review of Speech Emotion Recognition Systems (2021)A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism (2021)IEMOCAP: interactive emotional dyadic motion capture database (2008)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)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)An Attention Pooling Based Representation Learning Method for Speech Emotion Recognition (2018)Survey of Deep Representation Learning for Speech Emotion Recognition (2021)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Multimodal Speech Emotion Recognition Using Audio and Text (2018)Emotion Recognition from Speech Using wav2vec 2.0 Embeddings (2021)Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications (2010)Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion Recognition (2020)Semi-Supervised Speech Emotion Recognition With Ladder Networks (2020)A systematic literature review of speech emotion recognition approaches (2022)Practical Bayesian Optimization of Machine Learning Algorithms (2012)Speech emotion recognition with deep convolutional neural networks (2020)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)Deep Learning Approaches for Bimodal Speech Emotion Recognition: Advancements, Challenges, and a Multi-Learning Model (2023)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)A systematic review on affective computing: emotion models, databases, and recent advances (2022)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)
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References

  • 2018Speech emotion recognition using deep 1D & 2D CNN LSTM networks1,044 cited
  • 2017Automatic speech emotion recognition using recurrent neural networks with local attention769 cited
  • 2017Evaluating deep learning architectures for Speech Emotion Recognition553 cited
  • 2017Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching443 cited
  • 2016Speech emotion recognition using convolutional and Recurrent Neural Networks422 cited
  • 2017Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms422 cited
  • 2017Attentive Convolutional Neural Network Based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech249 cited
  • 2017Semisupervised Autoencoders for Speech Emotion Recognition153 cited
  • 2015Towards real-time Speech Emotion Recognition using deep neural networks103 cited

Cited by

  • 2022Attention-Based Multi-Learning Approach for Speech Emotion Recognition With Dilated Convolution57 cited
  • 2022Advanced Fusion-Based Speech Emotion Recognition System Using a Dual-Attention Mechanism with Conv-Caps and Bi-GRU Features49 cited
  • 2023MSA-GCN: Multiscale Adaptive Graph Convolution Network for gait emotion recognition41 cited
  • 2021EEG-Based Emotion Recognition Using an Improved Weighted Horizontal Visibility Graph37 cited

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  • 2021Extracting Information on Affective Computing Research from Data Analysis of Known Digital Platforms: Research into Emotional Artificial Intelligence5 cited