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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1251–1260 of 2041 papers

Title	Date	Tasks	Status
以遷移學習改善深度神經網路模型於中文歌詞情緒辨識 (Using Transfer Learning to Improve Deep Neural Networks for Lyrics Emotion Recognition in Chinese)	Dec 1, 2021	Emotion RecognitionTransfer Learning	—Unverified
Classifying Emotional Utterances by Employing Multi-modal Speech Emotion Recognition	Dec 1, 2021	Emotion RecognitionGender Classification	—Unverified
Retrofitting of Pre-trained Emotion Words with VAD-dimensions and the Plutchik Emotions	Dec 1, 2021	Emotion RecognitionWord Embeddings	—Unverified
The Validity of Lexicon-based Sentiment Analysis in Interdisciplinary Research	Dec 1, 2021	Emotion RecognitionSentiment Analysis	—Unverified
Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning	Nov 30, 2021	Emotion RecognitionMetric Learning	CodeCode Available
Representation learning through cross-modal conditional teacher-student training for speech emotion recognition	Nov 30, 2021	Emotion ClassificationEmotion Recognition	—Unverified
A Case Study on the Independence of Speech Emotion Recognition in Bangla and English Languages using Language-Independent Prosodic Features	Nov 21, 2021	Emotion RecognitionSpeech Emotion Recognition	—Unverified
Structure-Preserving Graph Kernel for Brain Network Classification	Nov 21, 2021	ClassificationEEG	—Unverified
Multimodal Emotion Recognition on RAVDESS Dataset Using Transfer Learning	Nov 18, 2021	Domain AdaptationEmotion Recognition	—Unverified
Cross-cultural Emotion Classification: the Effect of Emotional Intensity and Acoustic Features	Nov 16, 2021	Cultural Vocal Bursts Intensity PredictionEmotion Classification	—Unverified

Show:10 25 50

← PrevPage 126 of 205Next →

All datasets Emomusic RAVDESS EMOTIC FER2013 MaSaC_ERC MPED MSP-Podcast SEED คลิปคุณพ่อให้ลูกสาวยืมโทรศัพท์และความสนุกสนาน

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	M2D-CLAP	EmoA	77.4	—	Unverified
2	M2D2	EmoA	76.7	—	Unverified
3	M2D	EmoA	76.1	—	Unverified
4	Jukebox (Pre-training: CALM)	EmoA	72.1	—	Unverified
5	CLMR (Pre-training: contrastive)	EmoA	67.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LogisticRegression on posteriors of xlsr-Wav2Vec2.0&bi-LSTM+Attention	Accuracy	86.7	—	Unverified
2	MultiMAE-DER	WAR	83.61	—	Unverified
3	Intermediate-Attention-Fusion	Accuracy	81.58	—	Unverified
4	Logistic Regression on posteriors of the CNN-14&biLSTM-GuidedST	Accuracy	80.08	—	Unverified
5	ERANN-0-4	Accuracy	74.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CAGE	Top-3 Accuracy (%)	14.73	—	Unverified
2	FocusCLIP	Top-3 Accuracy (%)	13.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	VGG based	5-class test accuracy	66.13	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MaSaC-ERC-Z	F1-score (Weighted)	51.17	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BiHDM	Accuracy	40.34	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	w2v2-L-robust-12	Concordance correlation coefficient (CCC)	0.64	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	4D-aNN	Accuracy	96.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CNN	1'"	1	—	Unverified