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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 651–700 of 2041 papers

TitleStatusHype
PERSONA: An Application for Emotion Recognition, Gender Recognition and Age Estimation—0
INTERSPEECH 2009 Emotion Challenge Revisited: Benchmarking 15 Years of Progress in Speech Emotion RecognitionCode0
Enrolment-based personalisation for improving individual-level fairness in speech emotion recognitionCode0
Are Large Language Models More Empathetic than Humans?—0
Think out Loud: Emotion Deducing Explanation in Dialogues—0
Emo-bias: A Large Scale Evaluation of Social Bias on Speech Emotion Recognition—0
Evaluation of data inconsistency for multi-modal sentiment analysis—0
Multi-Microphone Speech Emotion Recognition using the Hierarchical Token-semantic Audio Transformer Architecture—0
E-ICL: Enhancing Fine-Grained Emotion Recognition through the Lens of Prototype Theory—0
Combining Qualitative and Computational Approaches for Literary Analysis of Finnish Novels—0
Unveiling Hidden Factors: Explainable AI for Feature Boosting in Speech Emotion RecognitionCode0
1st Place Solution to Odyssey Emotion Recognition Challenge Task1: Tackling Class Imbalance Problem—0
Iterative Feature Boosting for Explainable Speech Emotion RecognitionCode0
Exploring Thermography Technology: A Comprehensive Facial Dataset for Face Detection, Recognition, and Emotion—0
Multi-modal Mood Reader: Pre-trained Model Empowers Cross-Subject Emotion Recognition—0
Enhancing Emotion Recognition in Conversation through Emotional Cross-Modal Fusion and Inter-class Contrastive Learning—0
Beware of Overestimated Decoding Performance Arising from Temporal Autocorrelations in Electroencephalogram Signals—0
Crossmodal ASR Error Correction with Discrete Speech UnitsCode0
Detail-Enhanced Intra- and Inter-modal Interaction for Audio-Visual Emotion Recognition—0
ComFace: Facial Representation Learning with Synthetic Data for Comparing Faces—0
ST-Gait++: Leveraging spatio-temporal convolutions for gait-based emotion recognition on videos—0
Inconsistency-Aware Cross-Attention for Audio-Visual Fusion in Dimensional Emotion Recognition—0
Transformer based neural networks for emotion recognition in conversationsCode0
Sensing technologies and machine learning methods for emotion recognition in autism: Systematic review—0
Contextual Emotion Recognition using Large Vision Language Models—0
Self-supervised Gait-based Emotion Representation Learning from Selective Strongly Augmented Skeleton Sequences—0
Empathy Through Multimodality in Conversational Interfaces—0
Adapting WavLM for Speech Emotion Recognition—0
ESIHGNN: Event-State Interactions Infused Heterogeneous Graph Neural Network for Conversational Emotion Recognition—0
Fine-grained Speech Sentiment Analysis in Chinese Psychological Support Hotlines Based on Large-scale Pre-trained ModelCode0
Speaker Characterization by means of Attention Pooling—0
GMP-TL: Gender-augmented Multi-scale Pseudo-label Enhanced Transfer Learning for Speech Emotion Recognition—0
Toward end-to-end interpretable convolutional neural networks for waveform signals—0
Converting Anyone's Voice: End-to-End Expressive Voice Conversion with a Conditional Diffusion Model—0
Active Learning with Task Adaptation Pre-training for Speech Emotion RecognitionCode0
EALD-MLLM: Emotion Analysis in Long-sequential and De-identity videos with Multi-modal Large Language Model—0
A Systematic Evaluation of Adversarial Attacks against Speech Emotion Recognition ModelsCode0
Usefulness of Emotional Prosody in Neural Machine Translation—0
Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion—0
Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum—0
Two in One Go: Single-stage Emotion Recognition with Decoupled Subject-context Transformer—0
Samsung Research China-Beijing at SemEval-2024 Task 3: A multi-stage framework for Emotion-Cause Pair Extraction in Conversations—0
M3D: Manifold-based Domain Adaptation with Dynamic Distribution for Non-Deep Transfer Learning in Cross-subject and Cross-session EEG-based Emotion Recognition—0
MFHCA: Enhancing Speech Emotion Recognition Via Multi-Spatial Fusion and Hierarchical Cooperative Attention—0
Multi-channel Emotion Analysis for Consensus Reaching in Group Movie Recommendation Systems—0
Robust EEG-based Emotion Recognition Using an Inception and Two-sided Perturbation Model—0
Authentic Emotion Mapping: Benchmarking Facial Expressions in Real NewsCode0
TRNet: Two-level Refinement Network leveraging Speech Enhancement for Noise Robust Speech Emotion Recognition—0
Alleviating Catastrophic Forgetting in Facial Expression Recognition with Emotion-Centered Models—0
Dynamic Modality and View Selection for Multimodal Emotion Recognition with Missing Modalities—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