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 776–800 of 2041 papers

TitleStatusHype
A multimodal dynamical variational autoencoder for audiovisual speech representation learningCode0
High-Level Context Representation for Emotion Recognition in Images—0
The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and PersonalisationCode1
A vector quantized masked autoencoder for audiovisual speech emotion recognition—0
How to Enhance Causal Discrimination of Utterances: A Case on Affective ReasoningCode1
SI-LSTM: Speaker Hybrid Long-short Term Memory and Cross Modal Attention for Emotion Recognition in Conversation—0
Noise-Resistant Multimodal Transformer for Emotion Recognition—0
Multi-scale Transformer-based Network for Emotion Recognition from Multi Physiological SignalsCode0
A Review of Deep Learning Techniques for Speech Processing—0
Hierarchical Dialogue Understanding with Special Tokens and Turn-level AttentionCode1
SGED: A Benchmark dataset for Performance Evaluation of Spiking Gesture Emotion RecognitionCode0
A Comparative Study of Pre-trained Speech and Audio Embeddings for Speech Emotion Recognition—0
A vector quantized masked autoencoder for speech emotion recognitionCode1
AIRCADE: an Anechoic and IR Convolution-based Auralization Data-compilation EnsembleCode0
MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised LearningCode2
Context-Dependent Embedding Utterance Representations for Emotion Recognition in ConversationsCode0
Recursive Joint Attention for Audio-Visual Fusion in Regression based Emotion RecognitionCode1
Evaluation of Speaker Anonymization on Emotional Speech—0
HCAM -- Hierarchical Cross Attention Model for Multi-modal Emotion Recognition—0
Neuromorphic Event-based Facial Expression RecognitionCode1
How you feelin'? Learning Emotions and Mental States in Movie ScenesCode1
Unsupervised Speech Representation Pooling Using Vector QuantizationCode0
An Empirical Study and Improvement for Speech Emotion Recognition—0
Towards Interpretable Mental Health Analysis with Large Language ModelsCode2
An experimental study in Real-time Facial Emotion Recognition on new 3RL datasetCode0
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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