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Cross-corpus speech emotion recognition based on transfer non-negative matrix factorization
14 references·2 citing·37 second hop
Cross-corpus speech emotion recognition based on transfer non-negative matrix factorization (2016)Cross-corpus speech emotion recognition b…Supervised domain adaptation for emotion recognition from speech (2015)Supervised domain adaptation …An experimental study of speech emotion recognition based on deep convolutional neural networks (2015)An experimental study of spee…2015 International Conference on Affective Computing and Intelligent Interaction (ACII) (2015)2015 International Conference…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…A Novel Speech Emotion Recognition Method via Incomplete Sparse Least Square Regression (2014)A Novel Speech Emotion Recogn…Using multiple databases for training in emotion recognition: to unite or to vote? (2011)Using multiple databases for …Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Survey on speech emotion reco…The INTERSPEECH 2009 emotion challenge (2009)The INTERSPEECH 2009 emotion …GMM Supervector Based SVM with Spectral Features for Speech Emotion Recognition (2007)GMM Supervector Based SVM wit…The eNTERFACE’05 Audio-Visual Emotion Database (2006)The eNTERFACE’05 Audio-Visual…Emotional speech recognition: Resources, features, and methods (2006)Emotional speech recognition:…A database of German emotional speech (2005)A database of German emotiona…Emotion recognition in human-computer interaction (2001)Emotion recognition in human-…Choice of a classifier, based on properties of a dataset: case study-speech emotion recognition (2018)Choice of a classifier, based…Recognizing Emotions from Whispered Speech Based on Acoustic Feature Transfer Learning (2017)Recognizing Emotions from Whi…A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)AVEC 2013 (2013)Review on Psychological Stress Detection Using Biosignals (2019)Getting started with SUSAS: a speech under simulated and actual stress database (1997)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)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)Describing the emotional states that are expressed in speech (2003)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)The expression of the emotions in man and animals. (1872)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Emotion And Adaptation (1991)Attention, intentions, and the structure of discourse (1986)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A review of affective computing: From unimodal analysis to multimodal fusion (2017)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Toward machine emotional intelligence: analysis of affective physiological state (2001)Emotion recognition from speech: a review (2012)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)Facial Action Coding System (1978)Comprehensive database for facial expression analysis (2002)Emotion recognition using deep learning approach from audio–visual emotional big data (2018)A systematic review on affective computing: emotion models, databases, and recent advances (2022)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)IEMOCAP: interactive emotional dyadic motion capture database (2008)Feature Extraction and Selection for Emotion Recognition from EEG (2014)A survey of speech emotion recognition in natural environment (2020)Deep-Net: A Lightweight CNN-Based Speech Emotion Recognition System Using Deep Frequency Features (2020)Automatic speech emotion recognition using recurrent neural networks with local attention (2017)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)
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References

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  • 2005A database of German emotional speech2,365 cited
  • 2010Survey on speech emotion recognition: Features, classification schemes, and databases2,076 cited
  • 2009The INTERSPEECH 2009 emotion challenge929 cited
  • 2006Emotional speech recognition: Resources, features, and methods927 cited
  • 2014Speech emotion recognition using deep neural network and extreme learning machine822 cited
  • 2006The eNTERFACE’05 Audio-Visual Emotion Database615 cited
  • 2014Autoencoder-based Unsupervised Domain Adaptation for Speech Emotion Recognition269 cited
  • 2007GMM Supervector Based SVM with Spectral Features for Speech Emotion Recognition199 cited
  • 2015An experimental study of speech emotion recognition based on deep convolutional neural networks187 cited
  • 20152015 International Conference on Affective Computing and Intelligent Interaction (ACII)123 cited
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  • 2011Using multiple databases for training in emotion recognition: to unite or to vote?76 cited

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  • 2017Recognizing Emotions from Whispered Speech Based on Acoustic Feature Transfer Learning61 cited
  • 2018Choice of a classifier, based on properties of a dataset: case study-speech emotion recognition58 cited