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Unsupervised domain adaptation for speech emotion recognition using PCANet
12 references·3 citing·35 second hop
Unsupervised domain adaptation for speech emotion recognition using PCANet (2016)Unsupervised domain adaptation for speech…Speech emotion recognition using deep neural network and extreme learning machine (2014)Speech emotion recognition us…Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks (2014)Learning Salient Features for…Autoencoder-based Unsupervised Domain Adaptation for Speech Emotion Recognition (2014)Autoencoder-based Unsupervise…Sparse Autoencoder-Based Feature Transfer Learning for Speech Emotion Recognition (2013)Sparse Autoencoder-Based Feat…Emotion recognition from spontaneous speech using Hidden Markov models with deep belief networks (2013)Emotion recognition from spon…Emotion classification via utterance-level dynamics: A pattern-based approach to characterizing affective expressions (2013)Emotion classification via ut…Deep learning for robust feature generation in audiovisual emotion recognition (2013)Deep learning for robust feat…Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies (2010)Cross-Corpus Acoustic Emotion…The INTERSPEECH 2009 emotion challenge (2009)The INTERSPEECH 2009 emotion …OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit (2009)OpenEAR — Introducing the mun…Audiovisual Behavior Modeling by Combined Feature Spaces (2007)Audiovisual Behavior Modeling…A database of German emotional speech (2005)A database of German emotiona…Nonnegative Matrix Factorization Based Transfer Subspace Learning for Cross-Corpus Speech Emotion Recognition (2020)Nonnegative Matrix Factorizat…Transfer Sparse Discriminant Subspace Learning for Cross-Corpus Speech Emotion Recognition (2019)Transfer Sparse Discriminant …Learning a Target Sample Re-Generator for Cross-Database Micro-Expression Recognition (2017)Learning a Target Sample Re-G…Emotion recognition in human-computer interaction (2001)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)AVEC 2013 (2013)Review on Psychological Stress Detection Using Biosignals (2019)Getting started with SUSAS: a speech under simulated and actual stress database (1997)Unsupervised domain adaptation techniques based on auto-encoder for non-stationary EEG-based emotion recognition (2016)Domain Adversarial for Acoustic Emotion Recognition (2018)Survey of Deep Representation Learning for Speech Emotion Recognition (2021)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)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)A Weakly Supervised Learning Framework for Detecting Social Anxiety and Depression (2018)Learning Temporal Clusters Using Capsule Routing for Speech Emotion Recognition (2019)Emotion recognition using speech and neural structured learning to facilitate edge intelligence (2020)Toward detecting emotions in spoken dialogs (2005)IEMOCAP: interactive emotional dyadic motion capture database (2008)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition (2017)Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition (2017)Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network (2019)The eNTERFACE’05 Audio-Visual Emotion Database (2006)Deep Learning for Human Affect Recognition: Insights and New Developments (2019)Two-layer fuzzy multiple random forest for speech emotion recognition in human-robot interaction (2019)Affective Computing (1997)Deep neural networks for acoustic emotion recognition: Raising the benchmarks (2011)Emotion Recognition in Speech using Cross-Modal Transfer in the Wild (2018)Praat: Doing Phonetics by Computer (2011)Recurrent Neural Networks for Emotion Recognition in Video (2015)Evaluating deep learning architectures for Speech Emotion Recognition (2017)3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition (2018)Speech emotion recognition (2018)Automatic speech emotion recognition using recurrent neural networks with local attention (2017)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)
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References

  • 2005A database of German emotional speech2,365 cited
  • 2009The INTERSPEECH 2009 emotion challenge929 cited
  • 2014Speech emotion recognition using deep neural network and extreme learning machine822 cited
  • 2014Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks567 cited
  • 2009OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit418 cited
  • 2013Deep learning for robust feature generation in audiovisual emotion recognition401 cited
  • 2010Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies389 cited
  • 2013Sparse Autoencoder-Based Feature Transfer Learning for Speech Emotion Recognition366 cited
  • 2014Autoencoder-based Unsupervised Domain Adaptation for Speech Emotion Recognition269 cited
  • 2013Emotion recognition from spontaneous speech using Hidden Markov models with deep belief networks119 cited
  • 2007Audiovisual Behavior Modeling by Combined Feature Spaces82 cited
  • 2013Emotion classification via utterance-level dynamics: A pattern-based approach to characterizing affective expressions77 cited

Cited by

  • 2019Transfer Sparse Discriminant Subspace Learning for Cross-Corpus Speech Emotion Recognition49 cited
  • 2020Nonnegative Matrix Factorization Based Transfer Subspace Learning for Cross-Corpus Speech Emotion Recognition

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47 cited
  • 2017Learning a Target Sample Re-Generator for Cross-Database Micro-Expression Recognition41 cited