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 381–390 of 2041 papers

Title	Date	Tasks	Status	Hype
Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion Recognition	Jun 20, 2024	Emotion RecognitionKnowledge Distillation	—Unverified	0
FeedForward at SemEval-2024 Task 10: Trigger and sentext-height enriched emotion analysis in multi-party conversations	Jun 20, 2024	Emotion RecognitionEmotion Recognition in Conversation	CodeCode Available	0
An Adapter-Based Unified Model for Multiple Spoken Language Processing Tasks	Jun 20, 2024	Automatic Speech RecognitionDecoder	—Unverified	0
DASB -- Discrete Audio and Speech Benchmark	Jun 20, 2024	BenchmarkingEmotion Recognition	—Unverified	0
Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition	Jun 20, 2024	DiagnosticEEG	CodeCode Available	2
Finding Task-specific Subnetworks in Multi-task Spoken Language Understanding Model	Jun 18, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning	Jun 17, 2024	Emotion RecognitionMultimodal Emotion Recognition	CodeCode Available	4
Double Multi-Head Attention Multimodal System for Odyssey 2024 Speech Emotion Recognition Challenge	Jun 15, 2024	Emotion RecognitionPosition	—Unverified	0
Speech Emotion Recognition Using CNN and Its Use Case in Digital Healthcare	Jun 15, 2024	Emotion RecognitionSpeech Emotion Recognition	—Unverified	0
What Does it Take to Generalize SER Model Across Datasets? A Comprehensive Benchmark	Jun 14, 2024	Emotion RecognitionSpeech Emotion Recognition	—Unverified	0

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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