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 601–650 of 2041 papers

TitleStatusHype
Accommodating Missing Modalities in Time-Continuous Multimodal Emotion Recognition—0
On the Effectiveness of ASR Representations in Real-world Noisy Speech Emotion Recognition—0
Exploring Emotion Expression Recognition in Older Adults Interacting with a Virtual Coach—0
Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality InteractionCode1
Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning—0
Accumulating Word Representations in Multi-level Context Integration for ERC TaskCode0
Multimodal Stress Detection Using Facial Landmarks and Biometric Signals—0
New Approach for an Affective Computing-Driven Quality of Experience (QoE) Prediction—0
An analysis of large speech models-based representations for speech emotion recognition—0
A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in ConversationsCode1
Emotional Theory of Mind: Bridging Fast Visual Processing with Slow Linguistic Reasoning—0
Pre-trained Speech Processing Models Contain Human-Like Biases that Propagate to Speech Emotion RecognitionCode0
Multi-label Emotion Analysis in Conversation via Multimodal Knowledge Distillation—0
Affective Video Content Analysis: Decade Review and New Perspectives—0
Privacy-preserving Representation Learning for Speech Understanding—0
Data Augmentation for Emotion Detection in Small Imbalanced Text DataCode0
SSLCL: An Efficient Model-Agnostic Supervised Contrastive Learning Framework for Emotion Recognition in ConversationsCode1
A Contextualized Real-Time Multimodal Emotion Recognition for Conversational Agents using Graph Convolutional Networks in Reinforcement Learning—0
Do Stochastic Parrots have Feelings Too? Improving Neural Detection of Synthetic Text via Emotion RecognitionCode0
Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition—0
The Skipped Beat: A Study of Sociopragmatic Understanding in LLMs for 64 LanguagesCode0
Customising General Large Language Models for Specialised Emotion Recognition Tasks—0
MMTF-DES: A Fusion of Multimodal Transformer Models for Desire, Emotion, and Sentiment Analysis of Social Media Data—0
Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition—0
FerNeXt: Facial Expression Recognition Using ConvNeXt with Channel AttentionCode0
Towards Subject Agnostic Affective Emotion Recognition—0
SALMONN: Towards Generic Hearing Abilities for Large Language ModelsCode3
From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed DialoguesCode0
EmoDiarize: Speaker Diarization and Emotion Identification from Speech Signals using Convolutional Neural Networks—0
CLARA: Multilingual Contrastive Learning for Audio Representation AcquisitionCode1
Bias in Emotion Recognition with ChatGPT—0
DialogueLLM: Context and Emotion Knowledge-Tuned Large Language Models for Emotion Recognition in ConversationsCode1
Advancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference—0
Crowdsourced and Automatic Speech Prominence EstimationCode1
Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological SignalsCode1
Towards Emotion-Based Synthetic Consciousness: Using LLMs to Estimate Emotion Probability Vectors—0
Integrating Contrastive Learning into a Multitask Transformer Model for Effective Domain Adaptation—0
LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPTCode2
Acoustic and linguistic representations for speech continuous emotion recognition in call center conversations—0
In the Blink of an Eye: Event-based Emotion RecognitionCode1
Towards A Robust Group-level Emotion Recognition via Uncertainty-Aware Learning—0
Multimodal Prompt Transformer with Hybrid Contrastive Learning for Emotion Recognition in Conversation—0
Prompting Audios Using Acoustic Properties For Emotion Representation—0
Graph Neural Network-based EEG Classification: A Survey—0
End-to-End Continuous Speech Emotion Recognition in Real-life Customer Service Call Center Conversations—0
Active Learning Based Fine-Tuning Framework for Speech Emotion Recognition—0
Sarcasm in Sight and Sound: Benchmarking and Expansion to Improve Multimodal Sarcasm Detection—0
MONOVAB : An Annotated Corpus for Bangla Multi-label Emotion DetectionCode0
Unsupervised Representations Improve Supervised Learning in Speech Emotion Recognition—0
Learning Noise-Robust Joint Representation for Multimodal Emotion Recognition under Incomplete Data ScenariosCode0
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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