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 1301–1350 of 2041 papers

TitleStatusHype
Speech Emotion Recognition Based on CNN+LSTM Model—0
Unifying Categorical Models by Explicit Disentanglement of the Labels' Generative Factors—0
PDAML: A Pseudo Domain Adaptation Paradigm for Subject-independent EEG-based Emotion Recognition—0
Neural Dependency Coding inspired Multimodal Fusion—0
Semi-Supervised Adversarial Discriminative Domain AdaptationCode0
Evaluation of Non-Negative Matrix Factorization and n-stage Latent Dirichlet Allocation for Emotion Analysis in Turkish Tweets—0
Holistic Semi-Supervised Approaches for EEG Representation Learning—0
DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder—0
Multi-Task Learning with Sentiment, Emotion, and Target Detection to Recognize Hate Speech and Offensive Language—0
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition—0
Hybrid Data Augmentation and Deep Attention-based Dilated Convolutional-Recurrent Neural Networks for Speech Emotion Recognition—0
Generating Dataset For Large-scale 3D Facial Emotion Recognition—0
Fusion with Hierarchical Graphs for Mulitmodal Emotion Recognition—0
FSER: Deep Convolutional Neural Networks for Speech Emotion Recognition—0
Beyond Isolated Utterances: Conversational Emotion Recognition—0
EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion Recognition in Task-Oriented Dialogue SystemsCode0
Accounting for Variations in Speech Emotion Recognition with Nonparametric Hierarchical Neural Network—0
DeepEMO: Deep Learning for Speech Emotion RecognitionCode0
Multi-Branch Deep Radial Basis Function Networks for Facial Emotion Recognition—0
Few-shot Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network with Adaptive Sample Pair Formation—0
GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition—0
Stimuli-Aware Visual Emotion Analysis—0
Using Large Pre-Trained Models with Cross-Modal Attention for Multi-Modal Emotion Recognition—0
A Transformer Architecture for Stress Detection from ECG—0
Training and Profiling a Pediatric Emotion Recognition Classifier on Mobile Devices—0
Unsupervised Cross-Lingual Speech Emotion Recognition Using Pseudo MultilabelCode0
Emotion Recognition from Multiple Modalities: Fundamentals and Methodologies—0
A Weakly Supervised Dataset of Fine-Grained Emotions in PortugueseCode0
Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentation—0
Attentive Cross-modal Connections for Deep Multimodal Wearable-based Emotion Recognition—0
The Role of Phonetic Units in Speech Emotion Recognition—0
Using Knowledge-Embedded Attention to Augment Pre-trained Language Models for Fine-Grained Emotion RecognitionCode0
Deep Recurrent Semi-Supervised EEG Representation Learning for Emotion Recognition—0
Emotion Recognition under Consideration of the Emotion Component Process Model—0
Emotion Stimulus Detection in German News Headlines—0
Emotion analysis and detection during COVID-19—0
Iterative Distillation for Better Uncertainty Estimates in Multitask Emotion Recognition—0
Multi-modal Residual Perceptron Network for Audio-Video Emotion Recognition—0
An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data AugmentationCode0
Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A Survey—0
Emotion Recognition with Incomplete Labels Using Modified Multi-task Learning Technique—0
Use of Affective Visual Information for Summarization of Human-Centric Videos—0
Multitask Multi-database Emotion RecognitionCode0
Prior Aided Streaming Network for Multi-task Affective Recognitionat the 2nd ABAW2 Competition—0
Expressive Voice Conversion: A Joint Framework for Speaker Identity and Emotional Style Transfer—0
Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in TweetsCode0
An audiovisual and contextual approach for categorical and continuous emotion recognition in-the-wildCode0
Pretext Tasks selection for multitask self-supervised speech representation learningCode0
Affective Image Content Analysis: Two Decades Review and New Perspectives—0
Use of Variational Inference in Music Emotion Recognition—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