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Speech emotion recognition using recurrent neural networks with directional self-attention
14 references·14 citing·36 second hop
Speech emotion recognition using recurrent neural networks with directional self-attention (2021)Speech emotion recognition using recurren…Speech emotion recognition using fusion of three multi-task learning-based classifiers: HSF-DNN, MS-CNN and LLD-RNN (2020)Speech emotion recognition us…Speech emotion recognition (2018)Speech emotion recognitionAn Attention Pooling Based Representation Learning Method for Speech Emotion Recognition (2018)An Attention Pooling Based Re…3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition (2018)3-D Convolutional Recurrent N…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…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…Wavelet-based emotion recognition system using EEG signal (2016)Wavelet-based emotion recogni…High-level feature representation using recurrent neural network for speech emotion recognition (2015)High-level feature representa…Speech emotion recognition using deep neural network and extreme learning machine (2014)Speech emotion recognition us…Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Survey on speech emotion reco…Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications (2010)Affect Detection: An Interdis…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 Attention Model (2023)Speech Emotion Recognition Us…Speech emotion recognition based on Graph-LSTM neural network (2023)Speech emotion recognition ba…Speech emotion recognition approaches: A systematic review (2023)Speech emotion recognition ap…Emotion Recognition Using Different Sensors, Emotion Models, Methods and Datasets: A Comprehensive Review (2023)Emotion Recognition Using Dif…Dual-TBNet: Improving the Robustness of Speech Features via Dual-Transformer-BiLSTM for Speech Emotion Recognition (2023)Dual-TBNet: Improving the Rob…Brain Emotion Perception Inspired EEG Emotion Recognition With Deep Reinforcement Learning (2023)Brain Emotion Perception Insp…A review on speech emotion recognition: A survey, recent advances, challenges, and the influence of noise (2023)A review on speech emotion re…A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods (2023)A review of multimodal emotio…Transformer-Based Multilingual Speech Emotion Recognition Using Data Augmentation and Feature Fusion (2022)Transformer-Based Multilingua…Learning multi-scale features for speech emotion recognition with connection attention mechanism (2022)Learning multi-scale features…Contextual and Cross-Modal Interaction for Multi-Modal Speech Emotion Recognition (2022)Contextual and Cross-Modal In…Cognitive psychology-based artificial intelligence review (2022)Cognitive psychology-based ar…Advanced Fusion-Based Speech Emotion Recognition System Using a Dual-Attention Mechanism with Conv-Caps and Bi-GRU Features (2022)Advanced Fusion-Based Speech …Bangla Speech Emotion Recognition and Cross-Lingual Study Using Deep CNN and BLSTM Networks (2021)Bangla Speech Emotion Recogni…Acoustic profiles in vocal emotion expression. (1996)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)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)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)The expression of the emotions in man and animals. (1872)A Coefficient of Agreement for Nominal Scales (1960)Emotion And Adaptation (1991)Identifying Stable Patterns over Time for Emotion Recognition from EEG (2017)EmotionMeter: A Multimodal Framework for Recognizing Human Emotions (2018)Facial Expression Analysis under Partial Occlusion (2018)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)Speech emotion recognition using hidden Markov models (2003)Multimodal Speech Emotion Recognition Using Audio and Text (2018)A Comprehensive Review of Speech Emotion Recognition Systems (2021)Multimodal Emotion Recognition using Deep Learning (2021)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)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Emotion Recognition in Immersive Virtual Reality: From Statistics to Affective Computing (2020)Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap (2023)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 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)Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network (2019)Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM (2020)
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
  • 2010Survey on speech emotion recognition: Features, classification schemes, and databases2,076 cited
  • 2010Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications1,892 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
  • 2018Speech emotion recognition547 cited
  • 20183-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition503 cited
  • 2015High-level feature representation using recurrent neural network for speech emotion recognition406 cited
  • 2016Wavelet-based emotion recognition system using EEG signal363 cited
  • 2017Attentive Convolutional Neural Network Based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech249 cited
  • 2018An Attention Pooling Based Representation Learning Method for Speech Emotion Recognition185 cited
  • 2020Speech emotion recognition using fusion of three multi-task learning-based classifiers: HSF-DNN, MS-CNN and LLD-RNN

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152 cited

Cited by

  • 2023A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods144 cited
  • 2023Emotion Recognition Using Different Sensors, Emotion Models, Methods and Datasets: A Comprehensive Review134 cited
  • 2022Cognitive psychology-based artificial intelligence review100 cited
  • 2023Speech Emotion Recognition Using Attention Model100 cited
  • 2022Learning multi-scale features for speech emotion recognition with connection attention mechanism99 cited
  • 2023A review on speech emotion recognition: A survey, recent advances, challenges, and the influence of noise94 cited
  • 2023Speech emotion recognition approaches: A systematic review90 cited
  • 2021Bangla Speech Emotion Recognition and Cross-Lingual Study Using Deep CNN and BLSTM Networks80 cited
  • 2023Dual-TBNet: Improving the Robustness of Speech Features via Dual-Transformer-BiLSTM for Speech Emotion Recognition74 cited
  • 2023Brain Emotion Perception Inspired EEG Emotion Recognition With Deep Reinforcement Learning71 cited
  • 2022Contextual and Cross-Modal Interaction for Multi-Modal Speech Emotion Recognition59 cited
  • 2023Speech emotion recognition based on Graph-LSTM neural network59 cited
  • 2022Transformer-Based Multilingual Speech Emotion Recognition Using Data Augmentation and Feature Fusion57 cited
  • 2022Advanced Fusion-Based Speech Emotion Recognition System Using a Dual-Attention Mechanism with Conv-Caps and Bi-GRU Features49 cited