Speech Emotion Recognition

Speech Emotion Recognition is a task of speech processing and computational paralinguistics that aims to recognize and categorize the emotions expressed in spoken language. The goal is to determine the emotional state of a speaker, such as happiness, anger, sadness, or frustration, from their speech patterns, such as prosody, pitch, and rhythm.

For multimodal emotion recognition, please upload your result to Multimodal Emotion Recognition on IEMOCAP

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 51–75 of 431 papers

Title	Date	Tasks	Status	Hype	Score
Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings	Apr 8, 2021	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available	1	5
SpeechFormer++: A Hierarchical Efficient Framework for Paralinguistic Speech Processing	Feb 27, 2023	Alzheimer's Disease DetectionEmotion Recognition	CodeCode Available	1	5
Steering Language Model to Stable Speech Emotion Recognition via Contextual Perception and Chain of Thought	Feb 25, 2025	Emotion RecognitionLanguage Modeling	CodeCode Available	1	5
Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition	Nov 14, 2022	Speech Emotion Recognition	CodeCode Available	1	5
EmoNet: A Transfer Learning Framework for Multi-Corpus Speech Emotion Recognition	Mar 10, 2021	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available	1	5
LSSED: a large-scale dataset and benchmark for speech emotion recognition	Jan 30, 2021	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available	1	5
MMER: Multimodal Multi-task Learning for Speech Emotion Recognition	Mar 31, 2022	Emotion RecognitionMultimodal Emotion Recognition	CodeCode Available	1	5
Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings	Dec 26, 2021	AttributeEmotion Recognition	CodeCode Available	1	5
SERAB: A multi-lingual benchmark for speech emotion recognition	Oct 7, 2021	BenchmarkingEmotion Recognition	CodeCode Available	1	5
Speech emotion recognition with deep convolutional neural networks	Feb 15, 2020	Audio ClassificationEmotion Recognition	CodeCode Available	1	5
Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition	Oct 12, 2021	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available	1	5
Multi-modal Speech Emotion Recognition via Feature Distribution Adaptation Network	Oct 29, 2024	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available	0	5
Filter-based multi-task cross-corpus feature learning for speech emotion recognition	Feb 20, 2024	Cross-corpusEmotion Recognition	CodeCode Available	0	5
Audio Explanation Synthesis with Generative Foundation Models	Oct 10, 2024	BenchmarkingDecision Making	CodeCode Available	0	5
Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion Recognition	Jun 21, 2022	Active LearningClustering	CodeCode Available	0	5
Exploring Multilingual Unseen Speaker Emotion Recognition: Leveraging Co-Attention Cues in Multitask Learning	Jun 13, 2024	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available	0	5
Fine-grained Speech Sentiment Analysis in Chinese Psychological Support Hotlines Based on Large-scale Pre-trained Model	May 7, 2024	Emotion RecognitionMulti-Label Classification	CodeCode Available	0	5
Attentive Modality Hopping Mechanism for Speech Emotion Recognition	Nov 29, 2019	Emotion ClassificationEmotion Recognition	CodeCode Available	0	5
ExHuBERT: Enhancing HuBERT Through Block Extension and Fine-Tuning on 37 Emotion Datasets	Jun 11, 2024	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available	0	5
ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge	May 23, 2025	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available	0	5
Explaining Deep Learning Embeddings for Speech Emotion Recognition by Predicting Interpretable Acoustic Features	Sep 14, 2024	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available	0	5
Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion Recognition	Jan 5, 2021	Emotion RecognitionFew-Shot Learning	CodeCode Available	0	5
A multimodal dynamical variational autoencoder for audiovisual speech representation learning	May 5, 2023	DenoisingDisentanglement	CodeCode Available	0	5
Attention Based Fully Convolutional Network for Speech Emotion Recognition	Jun 5, 2018	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available	0	5
End-to-End Label Uncertainty Modeling in Speech Emotion Recognition using Bayesian Neural Networks and Label Distribution Learning	Sep 30, 2022	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available	0	5

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All datasets CREMA-D IEMOCAP RAVDESS MSP-Podcast (Activation)MSP-Podcast (Dominance)MSP-Podcast (Valence)BERSt RESD Dusha Crowd Dusha Podcast EMODB EmoDB Dataset

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Vertically long patch ViT	Accuracy	94.07	—	Unverified
2	ConformerXL-P	Accuracy	88.2	—	Unverified
3	CoordViT	Accuracy	82.96	—	Unverified
4	SepTr + LeRaC	Accuracy	70.95	—	Unverified
5	SepTr	Accuracy	70.47	—	Unverified
6	ResNet-18 + SPEL	Accuracy	68.12	—	Unverified
7	ViT	Accuracy	67.81	—	Unverified
8	ResNet-18 + PyNADA	Accuracy	65.15	—	Unverified
9	GRU	Accuracy	55.01	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SER with MTL	UA CV	0.78	—	Unverified
2	emoDARTS	UA CV	0.77	—	Unverified
3	LSTM+FC	WA	0.76	—	Unverified
4	TAP	WA CV	0.74	—	Unverified
5	SYSCOMB: BLSTMATT with CSA (session5)	UA	0.74	—	Unverified
6	Partially Fine-tuned HuBERT Large	WA CV	0.73	—	Unverified
7	CNN - DARTS	UA	0.7	—	Unverified
8	CNN+LSTM	UA	0.65	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	VQ-MAE-S-12 (Frame) + Query2Emo	Accuracy	84.1	—	Unverified
2	CNN-X (Shallow CNN)	Accuracy	82.99	—	Unverified
3	xlsr-Wav2Vec2.0(FineTuning)	Accuracy	81.82	—	Unverified
4	CNN-14 (Fine-Tuning)	Accuracy	76.58	—	Unverified
5	AlexNet (FineTuning)	Accuracy	61.67	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	wav2small-Teacher	CCC	0.76	—	Unverified
2	wavlm	CCC	0.75	—	Unverified
3	w2v2-L-robust-12	CCC	0.75	—	Unverified
4	preCPC	CCC	0.71	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	wav2small-Teacher	CCC	0.68	—	Unverified
2	wavlm	CCC	0.67	—	Unverified
3	w2v2-L-robust-12	CCC	0.66	—	Unverified
4	preCPC	CCC	0.64	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	wav2small-Teacher	CCC	0.68	—	Unverified
2	wavlm	CCC	0.65	—	Unverified
3	w2v2-L-robust-12	CCC	0.64	—	Unverified
4	preCPC	CCC	0.38	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DAWN-hidden-SVM	Unweighted Accuracy (UA)	32.1	—	Unverified
2	Wav2Small-VAD-SVM	Unweighted Accuracy (UA)	23.3	—	Unverified
3	Speechbrain Wav2Vec2	Unweighted Accuracy (UA)	20.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	emotion2vec+base	Weighted Accuracy (WA)	79.4	—	Unverified
2	emotion2vec+large	Weighted Accuracy (WA)	69.5	—	Unverified
3	emotion2vec	Weighted Accuracy (WA)	64.75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Dusha baseline	Macro F1	0.77	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Dusha baseline	Macro F1	0.54	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	VGG-optiVMD	1:1 Accuracy	96.09	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	VQ-MAE-S-12 (Frame) + Query2Emo	Accuracy	90.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PyResNet	Unweighted Accuracy (UA)	0.43	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	emoDARTS	UA	0.66	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LSTM	CCC (Arousal)	0.76	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CNN (1D)	Unweighted Accuracy	65.2	—	Unverified