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 301–350 of 2041 papers

TitleStatusHype
Leveraging Contrastive Learning and Self-Training for Multimodal Emotion Recognition with Limited Labeled SamplesCode0
NUS-Emo at SemEval-2024 Task 3: Instruction-Tuning LLM for Multimodal Emotion-Cause Analysis in Conversations—0
Recording Brain Activity While Listening to Music Using Wearable EEG Devices Combined with Bidirectional Long Short-Term Memory Networks—0
The Whole Is Bigger Than the Sum of Its Parts: Modeling Individual Annotators to Capture Emotional VariabilityCode0
Sentiment and Emotion-aware Multi-criteria Fuzzy Group Decision Making System—0
Video Emotion Open-vocabulary Recognition Based on Multimodal Large Language Model—0
SZTU-CMU at MER2024: Improving Emotion-LLaMA with Conv-Attention for Multimodal Emotion RecognitionCode4
Decoding Human Emotions: Analyzing Multi-Channel EEG Data using LSTM Networks—0
Enhancing Modal Fusion by Alignment and Label Matching for Multimodal Emotion RecognitionCode1
EEG-SCMM: Soft Contrastive Masked Modeling for Cross-Corpus EEG-Based Emotion Recognition—0
Electroencephalogram Emotion Recognition via AUC Maximization—0
Multi Teacher Privileged Knowledge Distillation for Multimodal Expression RecognitionCode0
EmoDynamiX: Emotional Support Dialogue Strategy Prediction by Modelling MiXed Emotions and Discourse DynamicsCode1
Toward a Dialogue System Using a Large Language Model to Recognize User Emotions with a Camera—0
SER Evals: In-domain and Out-of-domain Benchmarking for Speech Emotion RecognitionCode1
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
Recognizing Emotion Regulation Strategies from Human Behavior with Large Language Models—0
LLDif: Diffusion Models for Low-light Emotion Recognition—0
HiQuE: Hierarchical Question Embedding Network for Multimodal Depression DetectionCode1
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
Beyond Silent Letters: Amplifying LLMs in Emotion Recognition with Vocal NuancesCode1
Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion RecognitionCode1
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
Multimodal Emotion Recognition using Audio-Video Transformer Fusion with Cross AttentionCode1
Describe Where You Are: Improving Noise-Robustness for Speech Emotion Recognition with Text Description of the Environment—0
ERIT Lightweight Multimodal Dataset for Elderly Emotion Recognition and Multimodal Fusion Evaluation—0
Masked Graph Learning with Recurrent Alignment for Multimodal Emotion Recognition in Conversation—0
MicroEmo: Time-Sensitive Multimodal Emotion Recognition with Micro-Expression Dynamics in Video Dialogues—0
EMO-Codec: An In-Depth Look at Emotion Preservation capacity of Legacy and Neural Codec Models With Subjective and Objective Evaluations—0
Norface: Improving Facial Expression Analysis by Identity NormalizationCode1
EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification—0
Mapping the Technological Future: A Topic, Sentiment, and Emotion Analysis in Social Media Discourse—0
A Tale of Single-channel Electroencephalogram: Devices, Datasets, Signal Processing, Applications, and Future Directions—0
An Explainable Fast Deep Neural Network for Emotion Recognition—0
A Comparative Study of Transfer Learning for Emotion Recognition using CNN and Modified VGG16 Models—0
EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition—0
In-Depth Analysis of Emotion Recognition through Knowledge-Based Large Language Models—0
PCQ: Emotion Recognition in Speech via Progressive Channel Querying—0
Textualized and Feature-based Models for Compound Multimodal Emotion Recognition in the WildCode0
Temporal Label Hierachical Network for Compound Emotion Recognition—0
BSC-UPC at EmoSPeech-IberLEF2024: Attention Pooling for Emotion RecognitionCode0
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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