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 1701–1725 of 2041 papers

TitleStatusHype
Human-Centered Emotion Recognition in Animated GIFsCode0
A Self-Attentive Emotion Recognition NetworkCode0
Speech Emotion Recognition Using Multi-hop Attention MechanismCode0
A Personalized Affective Memory Neural Model for Improving Emotion Recognition—0
Complementary Fusion of Multi-Features and Multi-Modalities in Sentiment AnalysisCode0
An Interaction-aware Attention Network for Speech Emotion Recognition in Spoken DialogsCode0
Multimodal Speech Emotion Recognition and Ambiguity ResolutionCode0
Exploring Fine-Tuned Embeddings that Model Intensifiers for Emotion Analysis—0
Learning Affective Correspondence between Music and Image—0
Attention-Augmented End-to-End Multi-Task Learning for Emotion Prediction from SpeechCode0
Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG)—0
MuSE-ing on the Impact of Utterance Ordering On Crowdsourced Emotion Annotations—0
Towards adversarial learning of speaker-invariant representation for speech emotion recognition—0
Emotion Recognition with Machine Learning Using EEG Signals—0
Emotion Action Detection and Emotion Inference: the Task and DatasetCode0
Incorporating End-to-End Speech Recognition Models for Sentiment Analysis—0
Audio-Linguistic Embeddings for Spoken SentencesCode0
Improving Facial Emotion Recognition Systems Using Gradient and Laplacian Images—0
Deep Fusion: An Attention Guided Factorized Bilinear Pooling for Audio-video Emotion Recognition—0
Weighted Feature Fusion Based Emotional Recognition for Variable-length Speech using DNN—0
A Multi-task Neural Approach for Emotion Attribution, Classification and SummarizationCode0
Cross Lingual Speech Emotion Recognition: Urdu vs. Western LanguagesCode0
Face-Focused Cross-Stream Network for Deception Detection in Videos—0
Data Fine-tuning—0
A dataset of continuous affect annotations and physiological signals for emotion analysis—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