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

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Showing 126–150 of 431 papers

Title	Date	Tasks	Status	Score
An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance	Dec 18, 2023	Emotion RecognitionSentiment Analysis	CodeCode Available	5
Filter-based multi-task cross-corpus feature learning for speech emotion recognition	Feb 20, 2024	Cross-corpusEmotion Recognition	CodeCode Available	5
Efficient Arabic emotion recognition using deep neural networks	Oct 31, 2020	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available	5
BERSting at the Screams: A Benchmark for Distanced, Emotional and Shouted Speech Recognition	Apr 30, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Exploring Multilingual Unseen Speaker Emotion Recognition: Leveraging Co-Attention Cues in Multitask Learning	Jun 13, 2024	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available	5
Multi-modal Speech Emotion Recognition via Feature Distribution Adaptation Network	Oct 29, 2024	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available	5
Enrolment-based personalisation for improving individual-level fairness in speech emotion recognition	Jun 10, 2024	Emotion RecognitionFairness	CodeCode Available	5
Dynamic Parameter Memory: Temporary LoRA-Enhanced LLM for Long-Sequence Emotion Recognition in Conversation	Jul 11, 2025	4kEmotion Recognition	CodeCode Available	5
Evaluating Gammatone Frequency Cepstral Coefficients with Neural Networks for Emotion Recognition from Speech	Jun 23, 2018	ClassificationEmotion Recognition	CodeCode Available	5
End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks	Oct 7, 2021	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available	5
Explaining Deep Learning Embeddings for Speech Emotion Recognition by Predicting Interpretable Acoustic Features	Sep 14, 2024	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available	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	5
Emotional Vietnamese Speech-Based Depression Diagnosis Using Dynamic Attention Mechanism	Dec 11, 2024	Speech Emotion Recognition	CodeCode Available	5
Speech Emotion Recognition Using Multi-hop Attention Mechanism	Apr 23, 2019	Emotion ClassificationEmotion Recognition	CodeCode Available	5
Domain Specific Wav2vec 2.0 Fine-tuning For The SE&R 2022 Challenge	Jul 29, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	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	5
ExHuBERT: Enhancing HuBERT Through Block Extension and Fine-Tuning on 37 Emotion Datasets	Jun 11, 2024	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available	5
Pretrained audio neural networks for Speech emotion recognition in Portuguese	Oct 26, 2022	Data AugmentationEmotion Recognition	CodeCode Available	5
Domain Adversarial for Acoustic Emotion Recognition	Apr 20, 2018	AttributeEmotion Recognition	—Unverified	0
Domain Adapting Deep Reinforcement Learning for Real-world Speech Emotion Recognition	Jul 7, 2022	Cross-corpusDeep Reinforcement Learning	—Unverified	0
Automated Assessment of Encouragement and Warmth in Classrooms Leveraging Multimodal Emotional Features and ChatGPT	Apr 1, 2024	Emotion RecognitionSentiment Analysis	—Unverified	0
Disentangling Prosody Representations with Unsupervised Speech Reconstruction	Dec 14, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Developing a High-performance Framework for Speech Emotion Recognition in Naturalistic Conditions Challenge for Emotional Attribute Prediction	Jun 12, 2025	AttributeEmotion Recognition	—Unverified	0
Audio Representation Learning by Distilling Video as Privileged Information	Feb 6, 2023	Emotion RecognitionKnowledge Distillation	—Unverified	0
An analysis of large speech models-based representations for speech emotion recognition	Nov 1, 2023	Emotion RecognitionSpeech Emotion Recognition	—Unverified	0

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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