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 16511700 of 2041 papers

TitleStatusHype
Neural Architecture Search for Speech Emotion Recognition0
Neural Dependency Coding inspired Multimodal Fusion0
Neural Network architectures to classify emotions in Indian Classical Music0
Neuromorphic Valence and Arousal Estimation0
New Approach for an Affective Computing-Driven Quality of Experience (QoE) Prediction0
NLP meets psychotherapy: Using predicted client emotions and self-reported client emotions to measure emotional coherence0
Noise-Resistant Multimodal Transformer for Emotion Recognition0
Noise robust speech emotion recognition with signal-to-noise ratio adapting speech enhancement0
Non-Contrastive Self-supervised Learning for Utterance-Level Information Extraction from Speech0
Non-linear frequency warping using constant-Q transformation for speech emotion recognition0
Non-Volume Preserving-based Fusion to Group-Level Emotion Recognition on Crowd Videos0
Normalization Before Shaking Toward Learning Symmetrically Distributed Representation Without Margin in Speech Emotion Recognition0
Novel Dual-Channel Long Short-Term Memory Compressed Capsule Networks for Emotion Recognition0
Novel techniques for improving NNetEn entropy calculation for short and noisy time series0
NSEmo at EmoInt-2017: An Ensemble to Predict Emotion Intensity in Tweets0
NUIG at EmoInt-2017: BiLSTM and SVR Ensemble to Detect Emotion Intensity0
NUS-Emo at SemEval-2024 Task 3: Instruction-Tuning LLM for Multimodal Emotion-Cause Analysis in Conversations0
Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words0
Occlusion Aware Student Emotion Recognition based on Facial Action Unit Detection0
Oculum afficit: Ocular Affect Recognition0
Omni-Emotion: Extending Video MLLM with Detailed Face and Audio Modeling for Multimodal Emotion Analysis0
OmniVox: Zero-Shot Emotion Recognition with Omni-LLMs0
Once More, With Feeling: Measuring Emotion of Acting Performances in Contemporary American Film0
On Enhancing Speech Emotion Recognition using Generative Adversarial Networks0
On the Challenges of Sentiment Analysis for Dynamic Events0
On the Effectiveness of ASR Representations in Real-world Noisy Speech Emotion Recognition0
On the Efficacy and Noise-Robustness of Jointly Learned Speech Emotion and Automatic Speech Recognition0
On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era0
On the Robustness of Speech Emotion Recognition for Human-Robot Interaction with Deep Neural Networks0
On the use of Self-supervised Pre-trained Acoustic and Linguistic Features for Continuous Speech Emotion Recognition0
Optimal EEG Electrode Set for Emotion Recognition From Brain Signals: An Empirical Quest0
Optimism, Expectation, or Sarcasm? Multi-Class Hope Speech Detection in Spanish and English0
Optimize_Prime@DravidianLangTech-ACL2022: Emotion Analysis in Tamil0
Optimizing Emotion Recognition with Wearable Sensor Data: Unveiling Patterns in Body Movements and Heart Rate through Random Forest Hyperparameter Tuning0
Optimizing Multilingual Text-To-Speech with Accents & Emotions0
Optimizing Speech Emotion Recognition using Manta-Ray Based Feature Selection0
ORIS: Online Active Learning Using Reinforcement Learning-based Inclusive Sampling for Robust Streaming Analytics System0
Overview of Memotion 3: Sentiment and Emotion Analysis of Codemixed Hinglish Memes0
Pairwise Discernment of AffectNet Expressions with ArcFace0
PANDAS@TamilNLP-ACL2022: Emotion Analysis in Tamil Text using Language Agnostic Embeddings0
ParallelDots at SemEval-2019 Task 3: Domain Adaptation with feature embeddings for Contextual Emotion Analysis0
Parameter Efficient Finetuning for Speech Emotion Recognition and Domain Adaptation0
Representation Learning with Parameterised Quantum Circuits for Advancing Speech Emotion Recognition0
PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition0
PCQ: Emotion Recognition in Speech via Progressive Channel Querying0
PDAML: A Pseudo Domain Adaptation Paradigm for Subject-independent EEG-based Emotion Recognition0
PERI: Part Aware Emotion Recognition In The Wild0
Persian Speech Emotion Recognition by Fine-Tuning Transformers0
PERSONA: An Application for Emotion Recognition, Gender Recognition and Age Estimation0
Personalization Effect on Emotion Recognition from Physiological Data: An Investigation of Performance on Different Setups and Classifiers0
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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