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 526–550 of 2041 papers

TitleStatusHype
Enrolment-based personalisation for improving individual-level fairness in speech emotion recognitionCode0
A Weakly Supervised Dataset of Fine-Grained Emotions in PortugueseCode0
Enhancing Affective Representations of Music-Induced EEG through Multimodal Supervision and latent Domain AdaptationCode0
Speech Emotion Recognition Using Multi-hop Attention MechanismCode0
Enhanced Cross-Dataset Electroencephalogram-based Emotion Recognition using Unsupervised Domain AdaptationCode0
EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural AnnotatorsCode0
Evaluation Metrics for Automated Typographic Poster GenerationCode0
EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion Recognition in Task-Oriented Dialogue SystemsCode0
EmoTxt: A Toolkit for Emotion Recognition from TextCode0
Analysis of the Evolution of Advanced Transformer-Based Language Models: Experiments on Opinion MiningCode0
Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion RecognitionCode0
EmotionX-IDEA: Emotion BERT -- an Affectional Model for ConversationCode0
A domain-agnostic approach for opinion prediction on speechCode0
Emotion Recognition Using Transformers with Masked LearningCode0
EmotionX-KU: BERT-Max based Contextual Emotion ClassifierCode0
End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural NetworksCode0
Emotion Recognition in Horses with Convolutional Neural NetworksCode0
Emotion recognition in talking-face videos using persistent entropy and neural networksCode0
Emotion Recognition From Speech With Recurrent Neural NetworksCode0
Authentic Emotion Mapping: Benchmarking Facial Expressions in Real NewsCode0
Emotion Recognition in the Wild using Deep Neural Networks and Bayesian ClassifiersCode0
Multi-Task Learning Framework for Emotion Recognition in-the-wildCode0
EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversationCode0
Emotion Recognition from SpeechCode0
Emotion Detection From Tweets Using a BERT and SVM Ensemble ModelCode0
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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