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Speech Emotion Recognition with Heterogeneous Feature Unification of Deep Neural Network
14 references·2 citing·45 second hopsampled
Speech Emotion Recognition with Heterogeneous Feature Unification of Deep Neural Network (2019)Speech Emotion Recognition with Heterogen…Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment (2018)Multimodal Affective Analysis…Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition (2017)Learning Affective Features W…BAUM-1: A Spontaneous Audio-Visual Face Database of Affective and Mental States (2016)BAUM-1: A Spontaneous Audio-V…Towards a Small Set of Robust Acoustic Features for Emotion Recognition: Challenges (2015)Towards a Small Set of Robust…The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)The Geneva Minimalistic Acous…Speech emotion recognition with acoustic and lexical features (2015)Speech emotion recognition wi…Multimodal Prediction of Affective Dimensions and Depression in Human-Computer Interactions (2014)Multimodal Prediction of Affe…Kernel Cross-Modal Factor Analysis for Information Fusion With Application to Bimodal Emotion Recognition (2012)Kernel Cross-Modal Factor Ana…Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Recognising realistic emotion…Multiple Classifier Systems for the Classification of Audio-Visual Emotional States (2011)Multiple Classifier Systems f…Multimodal information fusion application to human emotion recognition from face and speech (2009)Multimodal information fusion…Recognizing Human Emotional State From Audiovisual Signals* (2008)Recognizing Human Emotional S…Recognizing Human Emotional State From Audiovisual Signals (2008)Recognizing Human Emotional S…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…Convolution neural network based automatic speech emotion recognition using Mel-frequency Cepstrum coefficients (2021)Convolution neural network ba…Ensemble Learning of Hybrid Acoustic Features for Speech Emotion Recognition (2020)Ensemble Learning of Hybrid A…A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Multimodal Approach of Speech Emotion Recognition Using Multi-Level Multi-Head Fusion Attention-Based Recurrent Neural Network (2020)A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods (2023)Cognitive representations of semantic categories. 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References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2015The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing1,815 cited
  • 2011Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge760 cited
  • 2017Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition346 cited
  • 2016BAUM-1: A Spontaneous Audio-Visual Face Database of Affective and Mental States216 cited
  • 2008Recognizing Human Emotional State From Audiovisual Signals215 cited
  • 2008Recognizing Human Emotional State From Audiovisual Signals*202 cited
  • 2015Speech emotion recognition with acoustic and lexical features177 cited
  • 2009Multimodal information fusion application to human emotion recognition from face and speech166 cited
  • 2018Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment162 cited
  • 2012Kernel Cross-Modal Factor Analysis for Information Fusion With Application to Bimodal Emotion Recognition157 cited
  • 2011Multiple Classifier Systems for the Classification of Audio-Visual Emotional States133 cited
  • 2014Multimodal Prediction of Affective Dimensions and Depression in Human-Computer Interactions114 cited
  • 2015Towards a Small Set of Robust Acoustic Features for Emotion Recognition: Challenges

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97 cited

Cited by

  • 2021Convolution neural network based automatic speech emotion recognition using Mel-frequency Cepstrum coefficients77 cited
  • 2020Ensemble Learning of Hybrid Acoustic Features for Speech Emotion Recognition72 cited