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 1251–1300 of 2041 papers

TitleStatusHype
Towards Machine Unlearning for Paralinguistic Speech Processing—0
Towards Multimodal Emotion Recognition in German Speech Events in Cars using Transfer Learning—0
Towards Practical Emotion Recognition: An Unsupervised Source-Free Approach for EEG Domain Adaptation—0
Towards Relatable Explainable AI with the Perceptual Process—0
Towards Robust Multimodal Physiological Foundation Models: Handling Arbitrary Missing Modalities—0
Towards Sentiment and Emotion aided Multi-modal Speech Act Classification in Twitter—0
Towards Speech Emotion Recognition "in the wild" using Aggregated Corpora and Deep Multi-Task Learning—0
Towards Subject Agnostic Affective Emotion Recognition—0
Towards Transferable Speech Emotion Representation: On loss functions for cross-lingual latent representations—0
Toward the application of XAI methods in EEG-based systems—0
Training and Profiling a Pediatric Emotion Recognition Classifier on Mobile Devices—0
Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study—0
Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm—0
Training speech emotion classifier without categorical annotations—0
Transferable Positive/Negative Speech Emotion Recognition via Class-wise Adversarial Domain Adaptation—0
Transfer Learning for Personality Perception via Speech Emotion Recognition—0
Transformer-Based Self-Supervised Learning for Emotion Recognition—0
Transformer-based Self-supervised Multimodal Representation Learning for Wearable Emotion Recognition—0
Transforming the Embeddings: A Lightweight Technique for Speech Emotion Recognition Tasks—0
TRILLsson: Distilled Universal Paralinguistic Speech Representations—0
TRNet: Two-level Refinement Network leveraging Speech Enhancement for Noise Robust Speech Emotion Recognition—0
TrueHappiness: Neuromorphic Emotion Recognition on TrueNorth—0
Turbo your multi-modal classification with contrastive learning—0
Tweeting AI: Perceptions of Lay vs Expert Twitterati—0
Two in One Go: Single-stage Emotion Recognition with Decoupled Subject-context Transformer—0
Two-level Attention with Two-stage Multi-task Learning for Facial Emotion Recognition—0
Two-level Explanations in Music Emotion Recognition—0
Two-stage Framework for Robust Speech Emotion Recognition Using Target Speaker Extraction in Human Speech Noise Conditions—0
UMUTeam@LT-EDI-ACL2022: Detecting Signs of Depression from text—0
UMUTeam@TamilNLP-ACL2022: Emotional Analysis in Tamil—0
Uncertainty Estimation in the Real World: A Study on Music Emotion Recognition—0
Understanding Emotions: A Dataset of Tweets to Study Interactions between Affect Categories—0
Understanding Environmental Posts: Sentiment and Emotion Analysis of Social Media Data—0
Unifying Categorical Models by Explicit Disentanglement of the Labels' Generative Factors—0
Unifying EEG and Speech for Emotion Recognition: A Two-Step Joint Learning Framework for Handling Missing EEG Data During Inference—0
Unifying Geometric Features and Facial Action Units for Improved Performance of Facial Expression Analysis—0
Unifying the Discrete and Continuous Emotion labels for Speech Emotion Recognition—0
UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause—0
Unimodal-driven Distillation in Multimodal Emotion Recognition with Dynamic Fusion—0
Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion—0
Unsupervised Counselor Dialogue Clustering for Positive Emotion Elicitation in Neural Dialogue System—0
Unsupervised Cross-Lingual Speech Emotion Recognition Using DomainAdversarial Neural Network—0
Unsupervised Discovery of Facial Landmarks and Head Pose—0
Unsupervised Learning in Reservoir Computing for EEG-based Emotion Recognition—0
Unsupervised low-rank representations for speech emotion recognition—0
Unsupervised Multimodal Language Representations using Convolutional Autoencoders—0
Unsupervised Multi-Modal Representation Learning for Affective Computing with Multi-Corpus Wearable Data—0
Unsupervised Personalization of an Emotion Recognition System: The Unique Properties of the Externalization of Valence in Speech—0
Unsupervised Representation Learning with Future Observation Prediction for Speech Emotion Recognition—0
Unsupervised Representations Improve Supervised Learning in Speech 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