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

Showing 226250 of 2041 papers

TitleStatusHype
Automated Parkinson's Disease Detection and Affective Analysis from Emotional EEG SignalsCode1
Continuous Emotion Recognition with Audio-visual Leader-follower Attentive FusionCode1
A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion RecognitionCode1
Emotion Recognition from Speech Using Wav2vec 2.0 EmbeddingsCode1
Exploring Visual Engagement Signals for Representation LearningCode1
Beyond Silent Letters: Amplifying LLMs in Emotion Recognition with Vocal NuancesCode1
Emotion Understanding in Videos Through Body, Context, and Visual-Semantic Embedding LossCode1
Neural Architecture Search of SPD Manifold NetworksCode1
Emotion Recognition on large video dataset based on Convolutional Feature Extractor and Recurrent Neural NetworkCode1
Facial Emotion Recognition: State of the Art Performance on FER2013Code1
Odyssey 2024 - Speech Emotion Recognition Challenge: Dataset, Baseline Framework, and ResultsCode1
EmoVIT: Revolutionizing Emotion Insights with Visual Instruction TuningCode1
Context Based Emotion Recognition using EMOTIC DatasetCode1
Estimating the Uncertainty in Emotion Attributes using Deep Evidential RegressionCode1
Exploiting modality-invariant feature for robust multimodal emotion recognition with missing modalitiesCode1
Attribute Inference Attack of Speech Emotion Recognition in Federated Learning SettingsCode1
A Transformer-based joint-encoding for Emotion Recognition and Sentiment AnalysisCode1
A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in ConversationsCode1
Enhancing Modal Fusion by Alignment and Label Matching for Multimodal Emotion RecognitionCode1
Predicting emotion from music videos: exploring the relative contribution of visual and auditory information to affective responsesCode1
Pre-trained Deep Convolution Neural Network Model With Attention for Speech Emotion RecognitionCode1
Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion RecognitionCode1
Ethics Sheet for Automatic Emotion Recognition and Sentiment AnalysisCode1
A Multimodal Corpus for Emotion Recognition in SarcasmCode1
A vector quantized masked autoencoder for speech emotion recognitionCode1
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Benchmark Results

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