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 51–100 of 2041 papers

TitleStatusHype
Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion RecognitionCode1
EfficientFER: EfficientNetv2 Based Deep Learning Approach for Facial Expression RecognitionCode1
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion RecognitionCode1
Efficient Speech Emotion Recognition Using Multi-Scale CNN and AttentionCode1
EEG-Based Emotion Recognition Using Regularized Graph Neural NetworksCode1
A cross-modal fusion network based on self-attention and residual structure for multimodal emotion recognitionCode1
Beyond Silent Letters: Amplifying LLMs in Emotion Recognition with Vocal NuancesCode1
EEG-Based Emotion Recognition Using Genetic Algorithm Optimized Multi-Layer PerceptronCode1
DWFormer: Dynamic Window transFormer for Speech Emotion RecognitionCode1
EmoGator: A New Open Source Vocal Burst Dataset with Baseline Machine Learning Classification MethodologiesCode1
Do Music Generation Models Encode Music Theory?Code1
EmoSpeech: Guiding FastSpeech2 Towards Emotional Text to SpeechCode1
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio DetectionCode1
Disentangling Textual and Acoustic Features of Neural Speech RepresentationsCode1
DialogueLLM: Context and Emotion Knowledge-Tuned Large Language Models for Emotion Recognition in ConversationsCode1
Directed Acyclic Graph Network for Conversational Emotion RecognitionCode1
Distribution-based Emotion Recognition in ConversationCode1
ECPE-2D: Emotion-Cause Pair Extraction based on Joint Two-Dimensional Representation, Interaction and PredictionCode1
Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in ConversationCode1
Crowdsourced and Automatic Speech Prominence EstimationCode1
Cross Task Neural Architecture Search for EEG Signal ClassificationsCode1
Decoupled Multimodal Distilling for Emotion RecognitionCode1
Aff-Wild2: Extending the Aff-Wild Database for Affect RecognitionCode1
Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality InteractionCode1
Cooperative Sentiment Agents for Multimodal Sentiment AnalysisCode1
Deep Multilayer Perceptrons for Dimensional Speech Emotion RecognitionCode1
Contextual Information and Commonsense Based Prompt for Emotion Recognition in ConversationCode1
CoMPM: Context Modeling with Speaker’s Pre-trained Memory Tracking for Emotion Recognition in ConversationCode1
Continuous Emotion Recognition using Visual-audio-linguistic information: A Technical Report for ABAW3Code1
Codified audio language modeling learns useful representations for music information retrievalCode1
A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party ConversationsCode1
COGMEN: COntextualized GNN based Multimodal Emotion recognitioNCode1
Affective Behaviour Analysis Using Pretrained Model with Facial PrioriCode1
CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in ConversationCode1
Context Based Emotion Recognition using EMOTIC DatasetCode1
Context De-confounded Emotion RecognitionCode1
A Japanese Dataset for Subjective and Objective Sentiment Polarity Classification in Micro Blog DomainCode1
How to Enhance Causal Discrimination of Utterances: A Case on Affective ReasoningCode1
A Efficient Multimodal Framework for Large Scale Emotion Recognition by Fusing Music and Electrodermal Activity SignalsCode1
A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion RecognitionCode1
Cross Attentional Audio-Visual Fusion for Dimensional Emotion RecognitionCode1
Cross-Lingual Cross-Age Group Adaptation for Low-Resource Elderly Speech Emotion RecognitionCode1
Compact Graph Architecture for Speech Emotion RecognitionCode1
Curriculum Learning Meets Directed Acyclic Graph for Multimodal Emotion RecognitionCode1
Contrast and Generation Make BART a Good Dialogue Emotion RecognizerCode1
DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion RecognitionCode1
A Hierarchical Transformer with Speaker Modeling for Emotion Recognition in ConversationCode1
Disentangled Variational Autoencoder for Emotion Recognition in ConversationsCode1
DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in ConversationsCode1
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational AgentsCode1
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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