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 1126–1150 of 2041 papers

TitleStatusHype
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