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Speech Emotion Recognition Using Sequential Capsule Networks
16 references·0 citing·35 second hop
Speech Emotion Recognition Using Sequential Capsule Networks (2021)Speech Emotion Recognition Using Sequenti…Speech Emotion Recognition with Dual-Sequence LSTM Architecture (2020)Speech Emotion Recognition wi…Speech Emotion Classification Using Attention-Based LSTM (2019)Speech Emotion Classification…An Attention Pooling Based Representation Learning Method for Speech Emotion Recognition (2018)An Attention Pooling Based Re…Semisupervised Autoencoders for Speech Emotion Recognition (2017)Semisupervised Autoencoders f…Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms (2017)Efficient Emotion Recognition…Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition (2017)Dependency Exploitation: A Un…Automatic speech emotion recognition using recurrent neural networks with local attention (2017)Automatic speech emotion reco…Speech emotion recognition using convolutional and Recurrent Neural Networks (2016)Speech emotion recognition us…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…Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Recognising realistic emotion…Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Survey on speech emotion reco…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…Hidden Markov model-based speech emotion recognition (2003)Hidden Markov model-based spe…Emotion recognition by speech signals (2003)Emotion recognition by speech…EMOTION RECOGNITION BY SPEECH SIGNAL (2003)EMOTION RECOGNITION BY SPEECH…Cognitive representations of semantic categories. (1975)An effect size primer: A guide for clinicians and researchers. (2009)Praat: Doing Phonetics by Computer (2011)Ambulatory Assessment (2012)The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism (2013)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)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)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)Acoustic profiles in vocal emotion expression. (1996)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)A database of German emotional speech (2005)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Deep Learning for Human Affect Recognition: Insights and New Developments (2019)A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism (2021)Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)A systematic review on affective computing: emotion models, databases, and recent advances (2022)Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture (2004)EmotionSense (2010)Objective measures, sensors and computational techniques for stress recognition and classification: A survey (2012)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 from Speech Using wav2vec 2.0 Embeddings (2021)Class-level spectral features for emotion recognition (2010)Databases, features and classifiers for speech emotion recognition: a review (2018)A Survey of Deep Learning-Based Multimodal Emotion Recognition: Speech, Text, and Face (2023)
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References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2010Survey on speech emotion recognition: Features, classification schemes, and databases2,076 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
  • 2011Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge760 cited
  • 2003Hidden Markov model-based speech emotion recognition594 cited
  • 2016Speech emotion recognition using convolutional and Recurrent Neural Networks422 cited
  • 2017Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms422 cited
  • 2015High-level feature representation using recurrent neural network for speech emotion recognition406 cited
  • 2003Emotion recognition by speech signals366 cited
  • 2003EMOTION RECOGNITION BY SPEECH SIGNAL337 cited
  • 2019Speech Emotion Classification Using Attention-Based LSTM282 cited
  • 2018An Attention Pooling Based Representation Learning Method for Speech Emotion Recognition185 cited
  • 2020Speech Emotion Recognition with Dual-Sequence LSTM Architecture162 cited

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2017
Semisupervised Autoencoders for Speech Emotion Recognition
153 cited
  • 2017Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition134 cited
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