SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Deep learning for robust feature generation in audiovisual emotion recognition
6 references·16 citing·39 second hop
Deep learning for robust feature generation in audiovisual emotion recognition (2013)Deep learning for robust feature generati…Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011 (2012)Features and classifiers 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 …IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…Toward detecting emotions in spoken dialogs (2005)Toward detecting emotions in …Analysis of emotion recognition using facial expressions, speech and multimodal information (2004)Analysis of emotion recogniti…Emotion recognition from unimodal to multimodal analysis: A review (2023)Emotion recognition from unim…Robust Speech Emotion Recognition Using CNN+LSTM Based on Stochastic Fractal Search Optimization Algorithm (2022)Robust Speech Emotion Recogni…Analyzing Personality through Social Media Profile Picture Choice (2021)Analyzing Personality through…Multimodal Transformer Fusion for Continuous Emotion Recognition (2020)Multimodal Transformer Fusion…M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech Cues (2020)M3ER: Multiplicative Multimod…Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network (2019)Speech Emotion Recognition Fr…Deep Learning for Human Affect Recognition: Insights and New Developments (2019)Deep Learning for Human Affec…3D CNN-Based Speech Emotion Recognition Using K-Means Clustering and Spectrograms (2019)3D CNN-Based Speech Emotion R…Multimodal Measurement of Depression Using Deep Learning Models (2017)Multimodal Measurement of Dep…Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition (2017)Learning Affective Features W…Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition (2017)Hierarchical Convolutional Ne…Ensemble of Deep Neural Networks with Probability-Based Fusion for Facial Expression Recognition (2017)Ensemble of Deep Neural Netwo…Emotion-Aware Connected Healthcare Big Data Towards 5G (2017)Emotion-Aware Connected Healt…Multimodal emotion recognition using deep learning architectures (2016)Multimodal emotion recognitio…Facial Expression Recognition in Video with Multiple Feature Fusion (2016)Facial Expression Recognition…A Multi-Task Learning Framework for Emotion Recognition Using 2D Continuous Space (2015)A Multi-Task Learning Framewo…Emotion recognition in human-computer interaction (2001)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)Attention, intentions, and the structure of discourse (1986)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Speech emotion recognition using deep neural network and extreme learning machine (2014)A review of affective computing: From unimodal analysis to multimodal fusion (2017)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)The Cognitive Structure of Emotions (1988)Affect Grid: A single-item scale of pleasure and arousal. (1989)Speech Emotion Classification Using Attention-Based LSTM (2019)Facial emotion recognition using deep learning: review and insights (2020)Acoustic profiles in vocal emotion expression. (1996)Assessing agreement on classification tasks: the kappa statistic (1996)Emotional speech recognition: Resources, features, and methods (2006)Coefficient Alpha and the Internal Structure of Tests (1951)The Hidden Dimension (1973)Affective Computing (1997)MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)Feature Extraction and Selection for Emotion Recognition from EEG (2014)Emotion recognition using wireless signals (2016)Multimodal big data affective analytics: A comprehensive survey using text, audio, visual and physiological signals (2019)Emotion Recognition for Cognitive Edge Computing Using Deep Learning (2021)In search of a robust facial expressions recognition model: A large-scale visual cross-corpus study (2022)A revised version of the psychoticism scale (1985)Map projections: A working manual (1987)Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity (2019)EEG-based emotion recognition using 4D convolutional recurrent neural network (2020)Emotion recognition in EEG signals using deep learning methods: A review (2023)A database of German emotional speech (2005)MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach (2020)An ensemble 1D-CNN-LSTM-GRU model with data augmentation for speech emotion recognition (2023)Emotion Recognition From EEG Using Higher Order Crossings (2009)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech (2021)Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects (2023)
this work references cited by second hop

References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2010Survey on speech emotion recognition: Features, classification schemes, and databases2,076 cited
  • 2005Toward detecting emotions in spoken dialogs969 cited
  • 2009The INTERSPEECH 2009 emotion challenge929 cited
  • 2004Analysis of emotion recognition using facial expressions, speech and multimodal information842 cited
  • 2012Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011428 cited

Cited by

  • 2019Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network356 cited
  • 2017Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition346 cited
  • 2017Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition337 cited
  • 2017Emotion-Aware Connected Healthcare Big Data Towards 5G273 cited
  • 2020M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech Cues261 cited
  • 2016Multimodal emotion recognition using deep learning architectures249 cited
  • 2019Deep Learning for Human Affect Recognition: Insights and New Developments243 cited
  • 2016Facial Expression Recognition in Video with Multiple Feature Fusion228 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2021Analyzing Personality through Social Media Profile Picture Choice219 cited
  • 2022Robust Speech Emotion Recognition Using CNN+LSTM Based on Stochastic Fractal Search Optimization Algorithm194 cited
  • 2023Emotion recognition from unimodal to multimodal analysis: A review192 cited
  • 2020Multimodal Transformer Fusion for Continuous Emotion Recognition187 cited
  • 2015A Multi-Task Learning Framework for Emotion Recognition Using 2D Continuous Space183 cited
  • 2017Multimodal Measurement of Depression Using Deep Learning Models175 cited
  • 2017Ensemble of Deep Neural Networks with Probability-Based Fusion for Facial Expression Recognition164 cited
  • 20193D CNN-Based Speech Emotion Recognition Using K-Means Clustering and Spectrograms157 cited