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 191–200 of 2041 papers

Title	Date	Tasks	Status	Hype	Score
Ethics Sheet for Automatic Emotion Recognition and Sentiment Analysis	Sep 17, 2021	ArticlesEmotion Recognition	CodeCode Available	1	5
EmotionFlow: Capture the Dialogue Level Emotion Transitions	May 7, 2022	Emotion RecognitionEmotion Recognition in Conversation	CodeCode Available	1	5
A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis	Jun 29, 2020	Emotion RecognitionMultimodal Sentiment Analysis	CodeCode Available	1	5
A Persian ASR-based SER: Modification of Sharif Emotional Speech Database and Investigation of Persian Text Corpora	Nov 18, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1	5
A Hierarchical Transformer with Speaker Modeling for Emotion Recognition in Conversation	Dec 29, 2020	Emotion RecognitionEmotion Recognition in Conversation	CodeCode Available	1	5
Deep Multilayer Perceptrons for Dimensional Speech Emotion Recognition	Apr 6, 2020	Deep LearningEmotion Recognition	CodeCode Available	1	5
DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations	Jun 3, 2021	Emotion RecognitionEmotion Recognition in Conversation	CodeCode Available	1	5
Dynamic Emotion Modeling with Learnable Graphs and Graph Inception Network	Aug 6, 2020	Emotion Recognitiongraph construction	CodeCode Available	1	5
A proposal for Multimodal Emotion Recognition using aural transformers and Action Units on RAVDESS dataset	Dec 30, 2021	Autonomous DrivingEmotion Recognition	CodeCode Available	1	5
Emotionless: Privacy-Preserving Speech Analysis for Voice Assistants	Aug 9, 2019	Emotion RecognitionPrivacy Preserving	CodeCode Available	1	5

Show:10 25 50

← PrevPage 20 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