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 1101–1150 of 2041 papers

TitleStatusHype
SeLiNet: Sentiment enriched Lightweight Network for Emotion Recognition in Images—0
Semantic Role Labeling of Emotions in Tweets—0
SemEval 2018 Task 2: Multilingual Emoji Prediction—0
SemEval-2020 Task 8: Memotion Analysis- the Visuo-Lingual Metaphor!—0
Semi-supervised Bayesian Deep Multi-modal Emotion Recognition—0
Semi-supervised cross-lingual speech emotion recognition—0
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data—0
Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition—0
Semi-Supervised Self-Learning Enhanced Music Emotion Recognition—0
SensEmo: Enabling Affective Learning through Real-time Emotion Recognition with Smartwatches—0
Sensing technologies and machine learning methods for emotion recognition in autism: Systematic review—0
Sensory Resilience based on Synesthesia—0
SentEMO: A Multilingual Adaptive Platform for Aspect-based Sentiment and Emotion Analysis—0
Sentence and Clause Level Emotion Annotation, Detection, and Classification in a Multi-Genre Corpus—0
Sentiment analysis on conversational texts—0
Sentiment and Emotion-aware Multi-criteria Fuzzy Group Decision Making System—0
Sentiment and Emotion Based Representations for Fake Reviews Detection—0
Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis—0
Sentiment-Aware Automatic Speech Recognition pre-training for enhanced Speech Emotion Recognition—0
Sentiment recognition of Italian elderly through domain adaptation on cross-corpus speech dataset—0
SEOVER: Sentence-level Emotion Orientation Vector based Conversation Emotion Recognition Model—0
SeQuiFi: Mitigating Catastrophic Forgetting in Speech Emotion Recognition with Sequential Class-Finetuning—0
SER_AMPEL: a multi-source dataset for speech emotion recognition of Italian older adults—0
SFE-Net: EEG-based Emotion Recognition with Symmetrical Spatial Feature Extraction—0
Shallow over Deep Neural Networks: A empirical analysis for human emotion classification using audio data—0
Siamese Generative Adversarial Privatizer for Biometric Data—0
Silent Speech and Emotion Recognition from Vocal Tract Shape Dynamics in Real-Time MRI—0
SI-LSTM: Speaker Hybrid Long-short Term Memory and Cross Modal Attention for Emotion Recognition in Conversation—0
ERNetCL: A novel emotion recognition network in textual conversation based on curriculum learning strategy—0
SINAI at IEST 2018: Neural Encoding of Emotional External Knowledge for Emotion Classification—0
SINAI at SemEval-2018 Task 1: Emotion Recognition in Tweets—0
Smile upon the Face but Sadness in the Eyes: Emotion Recognition based on Facial Expressions and Eye Behaviors—0
SocialNLP 2018 EmotionX Challenge Overview: Recognizing Emotions in Dialogues—0
SOLVER: Scene-Object Interrelated Visual Emotion Reasoning Network—0
Song Emotion Recognition: a Performance Comparison Between Audio Features and Artificial Neural Networks—0
Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations—0
S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversation—0
Spanish DAL: A Spanish Dictionary of Affect in Language—0
Sparsity in Dynamics of Spontaneous Subtle Emotions: Analysis \& Application—0
Spatial-Temporal Recurrent Neural Network for Emotion Recognition—0
Spatiotemporal Networks for Video Emotion Recognition—0
Speaker Attentive Speech Emotion Recognition—0
Speaker Characterization by means of Attention Pooling—0
Speaker Emotion Recognition: Leveraging Self-Supervised Models for Feature Extraction Using Wav2Vec2 and HuBERT—0
Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation—0
Speaker-invariant Affective Representation Learning via Adversarial Training—0
Speaker Normalization for Self-supervised Speech Emotion Recognition—0
Speech and Text-Based Emotion Recognizer—0
Speech-Based Emotion Recognition: Feature Selection by Self-Adaptive Multi-Criteria Genetic Algorithm—0
Speech-Emotion Detection in an Indonesian Movie—0
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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