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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 201–250 of 2041 papers

TitleStatusHype
DWFormer: Dynamic Window transFormer for Speech Emotion RecognitionCode1
Arabic Speech Emotion Recognition Employing Wav2vec2.0 and HuBERT Based on BAVED DatasetCode1
KNOT: Knowledge Distillation using Optimal Transport for Solving NLP TasksCode1
ECPE-2D: Emotion-Cause Pair Extraction based on Joint Two-Dimensional Representation, Interaction and PredictionCode1
EEG-Based Emotion Recognition Using Genetic Algorithm Optimized Multi-Layer PerceptronCode1
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion RecognitionCode1
A cross-modal fusion network based on self-attention and residual structure for multimodal emotion recognitionCode1
Frame-level emotional state alignment method for speech emotion recognitionCode1
Multitask Emotion Recognition with Incomplete LabelsCode1
BHAAV- A Text Corpus for Emotion Analysis from Hindi StoriesCode1
BiosERC: Integrating Biography Speakers Supported by LLMs for ERC TasksCode1
EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTaCode1
A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion RecognitionCode1
Facial Emotion Recognition with Noisy Multi-task AnnotationsCode1
EmoSpeech: Guiding FastSpeech2 Towards Emotional Text to SpeechCode1
EmoGator: A New Open Source Vocal Burst Dataset with Baseline Machine Learning Classification MethodologiesCode1
EmoNeXt: an Adapted ConvNeXt for Facial Emotion RecognitionCode1
EmoNet: A Transfer Learning Framework for Multi-Corpus Speech Emotion RecognitionCode1
Facial Emotion Recognition: State of the Art Performance on FER2013Code1
Multilogue-Net: A Context Aware RNN for Multi-modal Emotion Detection and Sentiment Analysis in ConversationCode1
Facial Emotion Recognition Using Transfer Learning in the Deep CNNCode1
FastAdaSP: Multitask-Adapted Efficient Inference for Large Speech Language ModelCode1
Audio-Visual Fusion for Emotion Recognition in the Valence-Arousal Space Using Joint Cross-AttentionCode1
Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in ConversationCode1
Emotionless: Privacy-Preserving Speech Analysis for Voice AssistantsCode1
EmotionFlow: Capture the Dialogue Level Emotion TransitionsCode1
Exploring Remote Physiological Signal Measurement under Dynamic Lighting Conditions at Night: Dataset, Experiment, and AnalysisCode1
A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion RecognitionCode1
Exploring Visual Engagement Signals for Representation LearningCode1
Automated Parkinson's Disease Detection and Affective Analysis from Emotional EEG SignalsCode1
Beyond Silent Letters: Amplifying LLMs in Emotion Recognition with Vocal NuancesCode1
Emotion Recognition in Audio and Video Using Deep Neural NetworksCode1
Neural Architecture Search of SPD Manifold NetworksCode1
Neuromorphic Event-based Facial Expression RecognitionCode1
Continuous Emotion Recognition with Audio-visual Leader-follower Attentive FusionCode1
Odyssey 2024 - Speech Emotion Recognition Challenge: Dataset, Baseline Framework, and ResultsCode1
Exploiting modality-invariant feature for robust multimodal emotion recognition with missing modalitiesCode1
Emotion Recognition on large video dataset based on Convolutional Feature Extractor and Recurrent Neural NetworkCode1
Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognitionCode1
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in ConversationCode1
Evaluation of Error and Correlation-Based Loss Functions For Multitask Learning Dimensional Speech Emotion RecognitionCode1
A Transformer-based joint-encoding for Emotion Recognition and Sentiment AnalysisCode1
A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in ConversationsCode1
Engagement Detection with Multi-Task Training in E-Learning EnvironmentsCode1
PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English PoetryCode1
Predicting emotion from music videos: exploring the relative contribution of visual and auditory information to affective responsesCode1
Attribute Inference Attack of Speech Emotion Recognition in Federated Learning SettingsCode1
Ethics Sheets for AI TasksCode1
A Multimodal Corpus for Emotion Recognition in SarcasmCode1
Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion RecognitionCode1
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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