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Multi-modal Dimensional Emotion Recognition using Recurrent Neural Networks
15 references·14 citing·51 second hop
Multi-modal Dimensional Emotion Recognition using Recurrent Neural Networks (2015)Multi-modal Dimensional Emotion Recogniti…Speech emotion recognition with acoustic and lexical features (2015)Speech emotion recognition wi…AV+EC 2015 (2015)AV+EC 2015Speech Emotion Recognition Using CNN (2014)Speech Emotion Recognition Us…Prediction of asynchronous dimensional emotion ratings from audiovisual and physiological data (2014)Prediction of asynchronous di…Combining modality specific deep neural networks for emotion recognition in video (2013)Combining modality specific d…LSTM-Modeling of continuous emotions in an audiovisual affect recognition framework (2012)LSTM-Modeling of continuous e…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…Automatic, Dimensional and Continuous Emotion Recognition (2010)Automatic, Dimensional and Co…A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)A Survey of Affect Recognitio…Recognising Human Emotions from Body Movement and Gesture Dynamics (2007)Recognising Human Emotions fr…Beyond Facial Expressions: Learning Human Emotion from Body Gestures (2007)Beyond Facial Expressions: Le…Emotion Assessment: Arousal Evaluation Using EEG’s and Peripheral Physiological Signals (2006)Emotion Assessment: Arousal E…Acoustical properties of speech as indicators of depression and suicidal risk (2000)Acoustical properties of spee…Smoothing, Forecasting and Prediction of Discrete Time Series. (1964)Smoothing, Forecasting and Pr…Hierarchical multimodal-fusion of physiological signals for emotion recognition with scenario adaption and contrastive alignment (2023)Hierarchical multimodal-fusio…Deep Auto-Encoders With Sequential Learning for Multimodal Dimensional Emotion Recognition (2021)Deep Auto-Encoders With Seque…Multi-Modal Recurrent Attention Networks for Facial Expression Recognition (2020)Multi-Modal Recurrent Attenti…Fusion of deep learning features with mixture of brain emotional learning for audio-visual emotion recognition (2020)Fusion of deep learning featu…Automatic Emotion Recognition Using Temporal Multimodal Deep Learning (2020)Automatic Emotion Recognition…Modeling Emotion in Complex Stories: The Stanford Emotional Narratives Dataset (2019)Modeling Emotion in Complex S…Automatic speech emotion recognition using an optimal combination of features based on EMD-TKEO (2019)Automatic speech emotion reco…TeamSense (2018)TeamSenseSpeech Emotion Recognition: Methods and Cases Study (2018)Speech Emotion Recognition: M…Deep spatio-temporal feature fusion with compact bilinear pooling for multimodal emotion recognition (2018)Deep spatio-temporal feature …Recognizing emotions in spoken dialogue with hierarchically fused acoustic and lexical features (2016)Recognizing emotions in spoke…Multi-modal Conditional Attention Fusion for Dimensional Emotion Prediction (2016)Multi-modal Conditional Atten…Multi-Modal Audio, Video and Physiological Sensor Learning for Continuous Emotion Prediction (2016)Multi-Modal Audio, Video and …How deep neural networks can improve emotion recognition on video data (2016)How deep neural networks can …Emotion recognition in human-computer interaction (2001)A systems approach to appraisal mechanisms in emotion (2005)International Affective Picture System (2005)Short-term emotion assessment in a recall paradigm (2009)Classifying Different Emotional States by Means of EEG-Based Functional Connectivity Patterns (2014)Wavelet-based emotion recognition system using EEG signal (2016)Affective Computing (1997)Bodily expression of emotion (1998)Neural mechanisms for the recognition of biological movements (2003)Emotion Recognition through Multiple Modalities: Face, Body Gesture, Speech (2008)Multimodal emotion recognition in speech-based interaction using facial expression, body gesture and acoustic analysis (2009)Automatic analysis of affective postures and body motion to detect engagement with a game companion (2011)Cognitive representations of semantic categories. 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References

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  • 2010Survey on speech emotion recognition: Features, classification schemes, and databases2,076 cited
  • 1964Smoothing, Forecasting and Prediction of Discrete Time Series.968 cited
  • 2011Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge760 cited
  • 2000Acoustical properties of speech as indicators of depression and suicidal risk504 cited
  • 2010Automatic, Dimensional and Continuous Emotion Recognition426 cited
  • 2014Speech Emotion Recognition Using CNN416 cited
  • 2013Combining modality specific deep neural networks for emotion recognition in video391 cited
  • 2006Emotion Assessment: Arousal Evaluation Using EEG’s and Peripheral Physiological Signals385 cited
  • 2007Recognising Human Emotions from Body Movement and Gesture Dynamics336 cited
  • 2012LSTM-Modeling of continuous emotions in an audiovisual affect recognition framework288 cited
  • 2014Prediction of asynchronous dimensional emotion ratings from audiovisual and physiological data201 cited
  • 2015AV+EC 2015178 cited
  • 2015Speech emotion recognition with acoustic and lexical features177 cited
  • 2007

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Beyond Facial Expressions: Learning Human Emotion from Body Gestures
126 cited

Cited by

  • 2016Multi-Modal Audio, Video and Physiological Sensor Learning for Continuous Emotion Prediction110 cited
  • 2016How deep neural networks can improve emotion recognition on video data107 cited
  • 2019Automatic speech emotion recognition using an optimal combination of features based on EMD-TKEO107 cited
  • 2018Deep spatio-temporal feature fusion with compact bilinear pooling for multimodal emotion recognition105 cited
  • 2020Automatic Emotion Recognition Using Temporal Multimodal Deep Learning101 cited
  • 2020Multi-Modal Recurrent Attention Networks for Facial Expression Recognition96 cited
  • 2016Multi-modal Conditional Attention Fusion for Dimensional Emotion Prediction87 cited
  • 2023Hierarchical multimodal-fusion of physiological signals for emotion recognition with scenario adaption and contrastive alignment82 cited
  • 2019Modeling Emotion in Complex Stories: The Stanford Emotional Narratives Dataset77 cited
  • 2018Speech Emotion Recognition: Methods and Cases Study71 cited
  • 2016Recognizing emotions in spoken dialogue with hierarchically fused acoustic and lexical features61 cited
  • 2021Deep Auto-Encoders With Sequential Learning for Multimodal Dimensional Emotion Recognition60 cited
  • 2020Fusion of deep learning features with mixture of brain emotional learning for audio-visual emotion recognition57 cited
  • 2018TeamSense52 cited