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 1201–1225 of 2041 papers

TitleStatusHype
Temporal aggregation of audio-visual modalities for emotion recognition—0
Temporal Analysis of Functional Brain Connectivity for EEG-based Emotion Recognition—0
TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification—0
Temporal Aware Mixed Attention-based Convolution and Transformer Network (MACTN) for EEG Emotion Recognition—0
Temporal Label Hierachical Network for Compound Emotion Recognition—0
Temporal-spatial Representation Learning Transformer for EEG-based Emotion Recognition—0
Testing Correctness, Fairness, and Robustness of Speech Emotion Recognition Models—0
Text-based Sentiment Analysis and Music Emotion Recognition—0
The AffectToolbox: Affect Analysis for Everyone—0
The BIRAFFE2 Experiment. Study in Bio-Reactions and Faces for Emotion-based Personalization for AI Systems—0
The Broad Impact of Feature Imitation: Neural Enhancements Across Financial, Speech, and Physiological Domains—0
"That's so cute!": The CARE Dataset for Affective Response Detection—0
The Effect of Gender and Age Differences on the Recognition of Emotions from Facial Expressions—0
The emotions that we perceive in music: the influence of language and lyrics comprehension on agreement—0
The Indian Spontaneous Expression Database for Emotion Recognition—0
The Labeled Multiple Canonical Correlation Analysis for Information Fusion—0
Thelxinoë: Recognizing Human Emotions Using Pupillometry and Machine Learning—0
The NeurIPS 2023 Machine Learning for Audio Workshop: Affective Audio Benchmarks and Novel Data—0
The Power of Properties: Uncovering the Influential Factors in Emotion Classification—0
The Pursuit of Empathy: Evaluating Small Language Models for PTSD Dialogue Support—0
The Role of Phonetic Units in Speech Emotion Recognition—0
The Strong Pull of Prior Knowledge in Large Language Models and Its Impact on Emotion Recognition—0
The Super Emotion Dataset—0
The Use of AI for Thermal Emotion Recognition: A Review of Problems and Limitations in Standard Design and Data—0
The Validity of Lexicon-based Sentiment Analysis in Interdisciplinary Research—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