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

Showing 301325 of 2041 papers

TitleStatusHype
MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language SequencesCode1
MuCDN: Mutual Conversational Detachment Network for Emotion Recognition in Multi-Party ConversationsCode1
Dynamic Emotion Modeling with Learnable Graphs and Graph Inception NetworkCode1
DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion RecognitionCode1
Disentangled Variational Autoencoder for Emotion Recognition in ConversationsCode1
Disentangling Textual and Acoustic Features of Neural Speech RepresentationsCode1
BHAAV- A Text Corpus for Emotion Analysis from Hindi StoriesCode1
Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive LossCode1
PARSE: Pairwise Alignment of Representations in Semi-Supervised EEG Learning for Emotion RecognitionCode1
Do Music Generation Models Encode Music Theory?Code1
ECPE-2D: Emotion-Cause Pair Extraction based on Joint Two-Dimensional Representation, Interaction and PredictionCode1
DWFormer: Dynamic Window transFormer for Speech Emotion RecognitionCode1
SemEval-2020 Task 8: Memotion Analysis -- The Visuo-Lingual Metaphor!Code1
BiosERC: Integrating Biography Speakers Supported by LLMs for ERC TasksCode1
Human-Centered Emotion Recognition in Animated GIFsCode0
VISTANet: VIsual Spoken Textual Additive Net for Interpretable Multimodal Emotion RecognitionCode0
Attentive Modality Hopping Mechanism for Speech Emotion RecognitionCode0
A multimodal dynamical variational autoencoder for audiovisual speech representation learningCode0
HoloFace: Augmenting Human-to-Human Interactions on HoloLensCode0
A Commonsense Reasoning Framework for Explanatory Emotion Attribution, Generation and Re-classificationCode0
Attention Based Fully Convolutional Network for Speech Emotion RecognitionCode0
Attention-Augmented End-to-End Multi-Task Learning for Emotion Prediction from SpeechCode0
Attending to Emotional NarrativesCode0
Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and BeyondCode0
Heterogeneity over Homogeneity: Investigating Multilingual Speech Pre-Trained Models for Detecting Audio DeepfakeCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1M2D-CLAPEmoA77.4Unverified
2M2D2EmoA76.7Unverified
3M2DEmoA76.1Unverified
4Jukebox (Pre-training: CALM)EmoA72.1Unverified
5CLMR (Pre-training: contrastive)EmoA67.8Unverified
#ModelMetricClaimedVerifiedStatus
1LogisticRegression on posteriors of xlsr-Wav2Vec2.0&bi-LSTM+AttentionAccuracy86.7Unverified
2MultiMAE-DERWAR83.61Unverified
3Intermediate-Attention-FusionAccuracy81.58Unverified
4Logistic Regression on posteriors of the CNN-14&biLSTM-GuidedSTAccuracy80.08Unverified
5ERANN-0-4Accuracy74.8Unverified
#ModelMetricClaimedVerifiedStatus
1CAGETop-3 Accuracy (%)14.73Unverified
2FocusCLIPTop-3 Accuracy (%)13.73Unverified
#ModelMetricClaimedVerifiedStatus
1VGG based5-class test accuracy66.13Unverified
#ModelMetricClaimedVerifiedStatus
1MaSaC-ERC-ZF1-score (Weighted)51.17Unverified
#ModelMetricClaimedVerifiedStatus
1BiHDMAccuracy40.34Unverified
#ModelMetricClaimedVerifiedStatus
1w2v2-L-robust-12Concordance correlation coefficient (CCC)0.64Unverified
#ModelMetricClaimedVerifiedStatus
14D-aNNAccuracy96.1Unverified
#ModelMetricClaimedVerifiedStatus
1CNN1'"1Unverified