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 251275 of 2041 papers

TitleStatusHype
The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and StressCode1
Emotion Recognition from Speech Using Wav2vec 2.0 EmbeddingsCode1
TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion RecognitionCode1
Pre-training strategies and datasets for facial representation learningCode1
Multimodal End-to-End Sparse Model for Emotion RecognitionCode1
EmoNet: A Transfer Learning Framework for Multi-Corpus Speech Emotion RecognitionCode1
Morphset:Augmenting categorical emotion datasets with dimensional affect labels using face morphingCode1
Pre-trained Deep Convolution Neural Network Model With Attention for Speech Emotion RecognitionCode1
LSSED: a large-scale dataset and benchmark for speech emotion recognitionCode1
SpanEmo: Casting Multi-label Emotion Classification as Span-predictionCode1
Transformer-based approach towards music emotion recognition from lyricsCode1
A Hierarchical Transformer with Speaker Modeling for Emotion Recognition in ConversationCode1
DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion RecognitionCode1
MSAF: Multimodal Split Attention FusionCode1
Relation-aware Graph Attention Networks with Relational Position Encodings for Emotion Recognition in ConversationsCode1
Emotion Understanding in Videos Through Body, Context, and Visual-Semantic Embedding LossCode1
Seen and Unseen emotional style transfer for voice conversion with a new emotional speech datasetCode1
Neural Architecture Search of SPD Manifold NetworksCode1
Speech SIMCLR: Combining Contrastive and Reconstruction Objective for Self-supervised Speech Representation LearningCode1
Multimodal Emotion Recognition with Transformer-Based Self Supervised Feature FusionCode1
MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language SequencesCode1
Facial Emotion Recognition with Noisy Multi-task AnnotationsCode1
Modulated Fusion using Transformer for Linguistic-Acoustic Emotion RecognitionCode1
Modality-Transferable Emotion Embeddings for Low-Resource Multimodal Emotion RecognitionCode1
Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim ClassificationCode1
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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