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Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques
16 references·15 citing·36 second hop
Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques (2020)Automated accurate speech emotion recogni…Speech emotion recognition with deep convolutional neural networks (2020)Speech emotion recognition wi…Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)Speech emotion recognition: E…MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)MELD: A Multimodal Multi-Part…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…Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Speech emotion recognition us…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…Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)Adieu features? End-to-end sp…Assessing the effectiveness of a large database of emotion-eliciting films: A new tool for emotion researchers (2009)Assessing the effectiveness o…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 hidden Markov models (2003)Speech emotion recognition us…An argument for basic emotions (1992)An argument for basic emotionsThe Cognitive Structure of Emotions. (1989)The Cognitive Structure of Em…The Cognitive Structure of Emotions (1988)The Cognitive Structure of Em…Emotion knowledge: Further exploration of a prototype approach. (1987)Emotion knowledge: Further ex…Speech Emotion Recognition via CNN-Transformer and multidimensional attention mechanism (2025)Speech Emotion Recognition vi…Sparse temporal aware capsule network for robust speech emotion recognition (2025)Sparse temporal aware capsule…Real-time speech emotion recognition using deep learning and data augmentation (2024)Real-time speech emotion reco…CENN: Capsule-enhanced neural network with innovative metrics for robust speech emotion recognition (2024)CENN: Capsule-enhanced neural…Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition (2023)Temporal Modeling Matters: A …Speech Emotion Recognition Using Convolution Neural Networks and Multi-Head Convolutional Transformer (2023)Speech Emotion Recognition Us…Multiscale-multichannel feature extraction and classification through one-dimensional convolutional neural network for Speech emotion recognition (2023)Multiscale-multichannel featu…An efficient feature selection method for arabic and english speech emotion recognition using Grey Wolf Optimizer (2023)An efficient feature selectio…GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition (2022)GM-TCNet: Gated Multi-scale T…Emotion recognition using heterogeneous convolutional neural networks combined with multimodal factorized bilinear pooling (2022)Emotion recognition using het…Deep Convolutional Neural Network and Gray Wolf Optimization Algorithm for Speech Emotion Recognition (2022)Deep Convolutional Neural Net…Tetromino pattern based accurate EEG emotion classification model (2021)Tetromino pattern based accur…PrimePatNet87: Prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognition (2021)PrimePatNet87: Prime pattern …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 …Acoustic profiles in vocal emotion expression. 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this work references cited by second hop

References

  • 1992An argument for basic emotions9,642 cited
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  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 1987Emotion knowledge: Further exploration of a prototype approach.3,071 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
  • 2019MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations1,413 cited
  • 2018Speech emotion recognition using deep 1D & 2D CNN LSTM networks1,044 cited
  • 2003Speech emotion recognition using hidden Markov models920 cited
  • 2016Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network905 cited
  • 2009Assessing the effectiveness of a large database of emotion-eliciting films: A new tool for emotion researchers868 cited
  • 2017Automatic speech emotion recognition using recurrent neural networks with local attention769 cited
  • 2019Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers725 cited
  • 2020Speech emotion recognition with deep convolutional neural networks

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621 cited
  • 2017Evaluating deep learning architectures for Speech Emotion Recognition553 cited
  • 1989The Cognitive Structure of Emotions.543 cited
  • Cited by

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    • 2022GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition64 cited
    • 2023An efficient feature selection method for arabic and english speech emotion recognition using Grey Wolf Optimizer60 cited
    • 2023Multiscale-multichannel feature extraction and classification through one-dimensional convolutional neural network for Speech emotion recognition59 cited
    • 2022Emotion recognition using heterogeneous convolutional neural networks combined with multimodal factorized bilinear pooling58 cited
    • 2024CENN: Capsule-enhanced neural network with innovative metrics for robust speech emotion recognition58 cited
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