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 551–600 of 2041 papers

TitleStatusHype
Improving Speech Emotion Recognition in Under-Resourced Languages via Speech-to-Speech Translation with Bootstrapping Data SelectionCode0
Stimulus Modality Matters: Impact of Perceptual Evaluations from Different Modalities on Speech Emotion Recognition System Performance—0
ReflectDiffu:Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework—0
TBDM-Net: Bidirectional Dense Networks with Gender Information for Speech Emotion RecognitionCode0
Personalized Speech Emotion Recognition in Human-Robot Interaction using Vision Transformers—0
Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion Recognition—0
Turbo your multi-modal classification with contrastive learning—0
Multi-Microphone and Multi-Modal Emotion Recognition in Reverberant Environment—0
Explaining Deep Learning Embeddings for Speech Emotion Recognition by Predicting Interpretable Acoustic FeaturesCode0
Early Joint Learning of Emotion Information Makes MultiModal Model Understand You Better—0
Multimodal Emotion Recognition with Vision-language Prompting and Modality Dropout—0
APEX: Attention on Personality based Emotion ReXgnition Framework—0
Leveraging Content and Acoustic Representations for Speech Emotion RecognitionCode0
Consensus-based Distributed Quantum Kernel Learning for Speech Recognition—0
Complex Emotion Recognition System using basic emotions via Facial Expression, EEG, and ECG Signals: a review—0
Better Spanish Emotion Recognition In-the-wild: Bringing Attention to Deep Spectrum Voice Analysis—0
Audio-Guided Fusion Techniques for Multimodal Emotion Analysis—0
Searching for Effective Preprocessing Method and CNN-based Architecture with Efficient Channel Attention on Speech Emotion Recognition—0
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion RecognitionCode0
Progressive Residual Extraction based Pre-training for Speech Representation Learning—0
From Text to Emotion: Unveiling the Emotion Annotation Capabilities of LLMsCode0
SpeechCaps: Advancing Instruction-Based Universal Speech Models with Multi-Talker Speaking Style CaptioningCode0
Leveraging Contrastive Learning and Self-Training for Multimodal Emotion Recognition with Limited Labeled SamplesCode0
Recording Brain Activity While Listening to Music Using Wearable EEG Devices Combined with Bidirectional Long Short-Term Memory Networks—0
NUS-Emo at SemEval-2024 Task 3: Instruction-Tuning LLM for Multimodal Emotion-Cause Analysis in Conversations—0
Sentiment and Emotion-aware Multi-criteria Fuzzy Group Decision Making System—0
Video Emotion Open-vocabulary Recognition Based on Multimodal Large Language Model—0
The Whole Is Bigger Than the Sum of Its Parts: Modeling Individual Annotators to Capture Emotional VariabilityCode0
Decoding Human Emotions: Analyzing Multi-Channel EEG Data using LSTM Networks—0
EEG-SCMM: Soft Contrastive Masked Modeling for Cross-Corpus EEG-Based Emotion Recognition—0
Multi Teacher Privileged Knowledge Distillation for Multimodal Expression RecognitionCode0
Electroencephalogram Emotion Recognition via AUC Maximization—0
Toward a Dialogue System Using a Large Language Model to Recognize User Emotions with a Camera—0
A Survey of Deep Learning for Group-level Emotion Recognition—0
A Comprehensive Survey on EEG-Based Emotion Recognition: A Graph-Based Perspective—0
Audio Enhancement for Computer Audition -- An Iterative Training Paradigm Using Sample Importance—0
Towards a Generative Approach for Emotion Detection and Reasoning—0
LLDif: Diffusion Models for Low-light Emotion Recognition—0
Recognizing Emotion Regulation Strategies from Human Behavior with Large Language Models—0
Conditioning LLMs with Emotion in Neural Machine Translation—0
FE-Adapter: Adapting Image-based Emotion Classifiers to Videos—0
Multi-Source EEG Emotion Recognition via Dynamic Contrastive Domain Adaptation—0
Tracking Emotional Dynamics in Chat Conversations: A Hybrid Approach using DistilBERT and Emoji Sentiment Analysis—0
Survey on Emotion Recognition through Posture Detection and the possibility of its application in Virtual Reality—0
DuA: Dual Attentive Transformer in Long-Term Continuous EEG Emotion Analysis—0
Optimizing Emotion Recognition with Wearable Sensor Data: Unveiling Patterns in Body Movements and Heart Rate through Random Forest Hyperparameter Tuning—0
ELP-Adapters: Parameter Efficient Adapter Tuning for Various Speech Processing Tasks—0
ERIT Lightweight Multimodal Dataset for Elderly Emotion Recognition and Multimodal Fusion Evaluation—0
Describe Where You Are: Improving Noise-Robustness for Speech Emotion Recognition with Text Description of the Environment—0
Masked Graph Learning with Recurrent Alignment for Multimodal Emotion Recognition in Conversation—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