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TDFNet: Transformer-Based Deep-Scale Fusion Network for Multimodal Emotion Recognition
16 references·0 citing·44 second hop
TDFNet: Transformer-Based Deep-Scale Fusion Network for Multimodal Emotion Recognition (2023)TDFNet: Transformer-Based Deep-Scale Fusi…CTNet: Conversational Transformer Network for Emotion Recognition (2021)CTNet: Conversational Transfo…A Comprehensive Review of Speech Emotion Recognition Systems (2021)A Comprehensive Review of Spe…Speech emotion recognition using fusion of three multi-task learning-based classifiers: HSF-DNN, MS-CNN and LLD-RNN (2020)Speech emotion recognition us…Multimodal Transformer Fusion for Continuous Emotion Recognition (2020)Multimodal Transformer Fusion…Learning Alignment for Multimodal Emotion Recognition from Speech (2019)Learning Alignment for Multim…Data Augmentation Using GANs for Speech Emotion Recognition (2019)Data Augmentation Using GANs …Speech emotion recognition (2018)Speech emotion recognitionMultimodal Speech Emotion Recognition Using Audio and Text (2018)Multimodal Speech Emotion Rec…Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment (2018)Multimodal Affective Analysis…End-to-End Speech Emotion Recognition Using Deep Neural Networks (2018)End-to-End Speech Emotion Rec…Semisupervised Autoencoders for Speech Emotion Recognition (2017)Semisupervised Autoencoders f…Automatic speech emotion recognition using recurrent neural networks with local attention (2017)Automatic speech emotion reco…Multimodal emotion recognition using deep learning architectures (2016)Multimodal emotion recognitio…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…Hidden Markov model-based speech emotion recognition (2003)Hidden Markov model-based spe…Hidden Markov model-based speech emotion recognition (2003)Hidden Markov model-based spe…Emotion recognition in human-computer interaction (2001)Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture (2004)EmotionSense (2010)Objective measures, sensors and computational techniques for stress recognition and classification: A survey (2012)Coefficient Alpha and the Internal Structure of Tests (1951)The Hidden Dimension (1973)Affective Computing (1997)A review of affective computing: From unimodal analysis to multimodal fusion (2017)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Analysis of emotion recognition using facial expressions, speech and multimodal information (2004)Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011 (2012)Deep learning for robust feature generation in audiovisual emotion recognition (2013)Deep Learning for Human Affect Recognition: Insights and New Developments (2019)Progressive Modality Reinforcement for Human Multimodal Emotion Recognition from Unaligned Multimodal Sequences (2021)Investigating EEG-based functional connectivity patterns for multimodal emotion recognition (2022)Speech emotion recognition using deep neural network and extreme learning machine (2014)Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)A systematic review on affective computing: emotion models, databases, and recent advances (2022)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Emotion Recognition in Immersive Virtual Reality: From Statistics to Affective Computing (2020)Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap (2023)A circumplex model of affect. (1980)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)A snapshot research and implementation of multimodal information fusion for data-driven emotion recognition (2019)A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism (2021)Leveraging recent advances in deep learning for audio-Visual emotion recognition (2021)MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)A Survey of Deep Learning-Based Multimodal Emotion Recognition: Speech, Text, and Face (2023)Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects (2023)Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals (2023)A database of German emotional speech (2005)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)A systematic literature review of speech emotion recognition approaches (2022)Emotion recognition from unimodal to multimodal analysis: A review (2023)Speech Emotion Recognition Based on Multiple Acoustic Features and Deep Convolutional Neural Network (2023)MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach (2020)Deep learning based multimodal emotion recognition using model-level fusion of audio–visual modalities (2022)Multimodal Emotion Recognition with Deep Learning: Advancements, challenges, and future directions (2023)Speech emotion recognition based on HMM and SVM (2005)Affective State Estimation for Human–Robot Interaction (2007)Acoustic feature selection for automatic emotion recognition from speech (2008)
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References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2017Automatic speech emotion recognition using recurrent neural networks with local attention769 cited
  • 2003Hidden Markov model-based speech emotion recognition594 cited
  • 2018Speech emotion recognition547 cited
  • 2021A Comprehensive Review of Speech Emotion Recognition Systems380 cited
  • 2018Multimodal Speech Emotion Recognition Using Audio and Text379 cited
  • 2021CTNet: Conversational Transformer Network for Emotion Recognition299 cited
  • 2018End-to-End Speech Emotion Recognition Using Deep Neural Networks289 cited
  • 2003Hidden Markov model-based speech emotion recognition278 cited
  • 2016Multimodal emotion recognition using deep learning architectures249 cited
  • 2020Multimodal Transformer Fusion for Continuous Emotion Recognition187 cited
  • 2019Learning Alignment for Multimodal Emotion Recognition from Speech177 cited
  • 2018Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment162 cited
  • 2019Data Augmentation Using GANs for Speech Emotion Recognition162 cited
  • 2017Semisupervised Autoencoders for Speech Emotion Recognition

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153 cited
  • 2020Speech emotion recognition using fusion of three multi-task learning-based classifiers: HSF-DNN, MS-CNN and LLD-RNN152 cited
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