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Transfer Linear Subspace Learning for Cross-Corpus Speech Emotion Recognition
9 references·9 citing·43 second hop
Transfer Linear Subspace Learning for Cross-Corpus Speech Emotion Recognition (2017)Transfer Linear Subspace Learning for Cro…Cross-Corpus Speech Emotion Recognition Based on Domain-Adaptive Least-Squares Regression (2016)Cross-Corpus Speech Emotion R…Speech emotion recognition using deep neural network and extreme learning machine (2014)Speech emotion recognition us…Autoencoder-based Unsupervised Domain Adaptation for Speech Emotion Recognition (2014)Autoencoder-based Unsupervise…On Acoustic Emotion Recognition: Compensating for Covariate Shift (2013)On Acoustic Emotion Recogniti…Speech emotion recognition: Features and classification models (2012)Speech emotion recognition: F…Deep neural networks for acoustic emotion recognition: Raising the benchmarks (2011)Deep neural networks for acou…Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies (2010)Cross-Corpus Acoustic Emotion…GMM Supervector Based SVM with Spectral Features for Speech Emotion Recognition (2007)GMM Supervector Based SVM wit…Speech emotion recognition using hidden Markov models (2003)Speech emotion recognition us…Self Supervised Adversarial Domain Adaptation for Cross-Corpus and Cross-Language Speech Emotion Recognition (2022)Self Supervised Adversarial D…Multi-modal speech emotion recognition using self-attention mechanism and multi-scale fusion framework (2022)Multi-modal speech emotion re…Hybrid deep learning with optimal feature selection for speech emotion recognition using improved meta-heuristic algorithm (2022)Hybrid deep learning with opt…Autoencoder With Emotion Embedding for Speech Emotion Recognition (2021)Autoencoder With Emotion Embe…Learning deep multimodal affective features for spontaneous speech emotion recognition (2020)Learning deep multimodal affe…A Review of Generalizable Transfer Learning in Automatic Emotion Recognition (2020)A Review of Generalizable Tra…Transfer Sparse Discriminant Subspace Learning for Cross-Corpus Speech Emotion Recognition (2019)Transfer Sparse Discriminant …Feature Selection Based Transfer Subspace Learning for Speech Emotion Recognition (2018)Feature Selection Based Trans…CROSS-CORPUS EEG-BASED EMOTION RECOGNITION (2018)CROSS-CORPUS EEG-BASED EMOTIO…Getting started with SUSAS: a speech under simulated and actual stress database (1997)The INTERSPEECH 2009 emotion challenge (2009)Sparse Autoencoder-Based Feature Transfer Learning for Speech Emotion Recognition (2013)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)Emotion recognition in human-computer interaction (2001)Describing the emotional states that are expressed in speech (2003)An experimental study of speech emotion recognition based on deep convolutional neural networks (2015)Audio-visual emotion fusion (AVEF): A deep efficient weighted approach (2018)Improved End-to-End Speech Emotion Recognition Using Self Attention Mechanism and Multitask Learning (2019)Are there basic emotions? (1992)Affective Computing (1997)Vocal communication of emotion: A review of research paradigms (2003)A novel feature selection method for speech emotion recognition (2018)A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism (2021)Improved speech emotion recognition with Mel frequency magnitude coefficient (2021)A database of German emotional speech (2005)The eNTERFACE’05 Audio-Visual Emotion Database (2006)Paralinguistics in speech and language—State-of-the-art and the challenge (2012)Attentive Convolutional Neural Network Based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech (2017)End-to-End Speech Emotion Recognition Using Deep Neural Networks (2018)The expression of the emotions in man and animals. (1872)Vocal affect expression: A review and a model for future research. (1986)Emotional speech recognition: Resources, features, and methods (2006)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)Toward the simulation of emotion in synthetic speech: A review of the literature on human vocal emotion (1993)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Weighted spectral features based on local Hu moments for speech emotion recognition (2015)Random Deep Belief Networks for Recognizing Emotions from Speech Signals (2017)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Emotion Recognition in Speech using Cross-Modal Transfer in the Wild (2018)IEMOCAP: interactive emotional dyadic motion capture database (2008)Automatic speech emotion recognition using recurrent neural networks with local attention (2017)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition (2022)Dual-TBNet: Improving the Robustness of Speech Features via Dual-Transformer-BiLSTM for Speech Emotion Recognition (2023)Multimodal Emotion Recognition via Convolutional Neural Networks: Comparison of different strategies on two multimodal datasets (2023)Domain Regeneration for Cross-Database Micro-Expression Recognition (2018)
this work references cited by second hop

References

  • 2003Speech emotion recognition using hidden Markov models920 cited
  • 2014Speech emotion recognition using deep neural network and extreme learning machine822 cited
  • 2010Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies389 cited
  • 2011Deep neural networks for acoustic emotion recognition: Raising the benchmarks288 cited
  • 2014Autoencoder-based Unsupervised Domain Adaptation for Speech Emotion Recognition269 cited
  • 2012Speech emotion recognition: Features and classification models239 cited
  • 2007GMM Supervector Based SVM with Spectral Features for Speech Emotion Recognition199 cited
  • 2013On Acoustic Emotion Recognition: Compensating for Covariate Shift112 cited
  • 2016Cross-Corpus Speech Emotion Recognition Based on Domain-Adaptive Least-Squares Regression97 cited

Cited by

  • 2020Learning deep multimodal affective features for spontaneous speech emotion recognition87 cited
  • 2020A Review of Generalizable Transfer Learning in Automatic Emotion Recognition81 cited
  • 2018Feature Selection Based Transfer Subspace Learning for Speech Emotion Recognition78 cited
  • 2022Self Supervised Adversarial Domain Adaptation for Cross-Corpus and Cross-Language Speech Emotion Recognition71 cited
  • 2022Multi-modal speech emotion recognition using self-attention mechanism and multi-scale fusion framework

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70 cited
  • 2021Autoencoder With Emotion Embedding for Speech Emotion Recognition68 cited
  • 2018CROSS-CORPUS EEG-BASED EMOTION RECOGNITION54 cited
  • 2022Hybrid deep learning with optimal feature selection for speech emotion recognition using improved meta-heuristic algorithm50 cited
  • 2019Transfer Sparse Discriminant Subspace Learning for Cross-Corpus Speech Emotion Recognition49 cited