SOTAVerified

Emotion Recognition

Emotion Recognition is an important area of research to enable effective human-computer interaction. Human emotions can be detected using speech signal, facial expressions, body language, and electroencephalography (EEG). Source: Using Deep Autoencoders for Facial Expression Recognition

Papers

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Showing 701–750 of 2041 papers

TitleStatusHype
Emotion Analysis of Tweets Banning Education in Afghanistan—0
Characterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition—0
Emotion Analysis on EEG Signal Using Machine Learning and Neural Network—0
Emotion Analysis on Twitter: The Hidden Challenge—0
EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters—0
Emotion Analysis using Multi-Layered Networks for Graphical Representation of Tweets—0
EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification—0
Emotion-Aware Interaction Design in Intelligent User Interface Using Multi-Modal Deep Learning—0
EmotionCaps: Enhancing Audio Captioning Through Emotion-Augmented Data Generation—0
Emotion Carrier Recognition from Personal Narratives—0
Biologically inspired speech emotion recognition—0
Adversarial Representation with Intra-Modal and Inter-Modal Graph Contrastive Learning for Multimodal Emotion Recognition—0
EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition—0
Emotion Correlation Mining Through Deep Learning Models on Natural Language Text—0
Classifier-based Polarity Propagation in a WordNet—0
Emotion Detection in Code-switching Texts via Bilingual and Sentimental Information—0
Emotion Detection in Reddit: Comparative Study of Machine Learning and Deep Learning Techniques—0
Emotion Detection on User Front-Facing App Interfaces for Enhanced Schedule Optimization: A Machine Learning Approach—0
EEG emotion recognition using dynamical graph convolutional neural networks—0
Emotion Distribution Learning from Texts—0
Emotion Dynamics Modeling via BERT—0
Emotion Embeddings x2014 Learning Stable and Homogeneous Abstractions from Heterogeneous Affective Datasets—0
Bimodal Speech Emotion Recognition Using Pre-Trained Language Models—0
Bimodal Connection Attention Fusion for Speech Emotion Recognition—0
Emotion Generation and Recognition: A StarGAN Approach—0
Emotion helps Sentiment: A Multi-task Model for Sentiment and Emotion Analysis—0
Climate and Weather: Inspecting Depression Detection via Emotion Recognition—0
Emotion in Code-switching Texts: Corpus Construction and Analysis—0
EEG-based Multimodal Representation Learning for Emotion Recognition—0
An Efficient End-to-End Transformer with Progressive Tri-modal Attention for Multi-modal Emotion Recognition—0
A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study—0
EmotionNAS: Two-stream Neural Architecture Search for Speech Emotion Recognition—0
Emotion Recognition with Facial Attention and Objective Activation Functions—0
EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models—0
Emotion Recognition With Temporarily Localized 'Emotional Events' in Naturalistic Context—0
EEG-based Emotion Style Transfer Network for Cross-dataset Emotion Recognition—0
Emotion recognition based on multi-modal electrophysiology multi-head attention Contrastive Learning—0
CNN based music emotion classification—0
EEG-based Emotion Recognition via Efficient Convolutional Neural Network and Contrastive Learning—0
Emotion Recognition by Body Movement Representation on the Manifold of Symmetric Positive Definite Matrices—0
Emotion recognition by fusing time synchronous and time asynchronous representations—0
Affective Video Content Analysis: Decade Review and New Perspectives—0
Emotion Recognition for Challenged People Facial Appearance in Social using Neural Network—0
Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A Survey—0
Emotion Recognition for In-the-wild Videos—0
Emotion Recognition for Low-Resource Turkish: Fine-Tuning BERTurk on TREMO and Testing on Xenophobic Political Discourse—0
Bias in Emotion Recognition with ChatGPT—0
Emotion Recognition From Gait Analyses: Current Research and Future Directions—0
Eradicating Social Biases in Sentiment Analysis using Semantic Blinding and Semantic Propagation Graph Neural Networks—0
An EEG-Based Multi-Modal Emotion Database with Both Posed and Authentic Facial Actions for Emotion Analysis—0
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All datasetsEmomusicRAVDESSEMOTICFER2013MaSaC_ERCMPEDMSP-PodcastSEEDคลิปคุณพ่อให้ลูกสาวยืมโทรศัพท์และความสนุกสนาน

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1M2D-CLAPEmoA77.4—Unverified
2M2D2EmoA76.7—Unverified
3M2DEmoA76.1—Unverified
4Jukebox (Pre-training: CALM)EmoA72.1—Unverified
5CLMR (Pre-training: contrastive)EmoA67.8—Unverified
#ModelMetricClaimedVerifiedStatus
1LogisticRegression on posteriors of xlsr-Wav2Vec2.0&bi-LSTM+AttentionAccuracy86.7—Unverified
2MultiMAE-DERWAR83.61—Unverified
3Intermediate-Attention-FusionAccuracy81.58—Unverified
4Logistic Regression on posteriors of the CNN-14&biLSTM-GuidedSTAccuracy80.08—Unverified
5ERANN-0-4Accuracy74.8—Unverified
#ModelMetricClaimedVerifiedStatus
1CAGETop-3 Accuracy (%)14.73—Unverified
2FocusCLIPTop-3 Accuracy (%)13.73—Unverified
#ModelMetricClaimedVerifiedStatus
1VGG based5-class test accuracy66.13—Unverified
#ModelMetricClaimedVerifiedStatus
1MaSaC-ERC-ZF1-score (Weighted)51.17—Unverified
#ModelMetricClaimedVerifiedStatus
1BiHDMAccuracy40.34—Unverified
#ModelMetricClaimedVerifiedStatus
1w2v2-L-robust-12Concordance correlation coefficient (CCC)0.64—Unverified
#ModelMetricClaimedVerifiedStatus
14D-aNNAccuracy96.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CNN1'"1—Unverified