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 351–375 of 431 papers

Title	Date	Tasks	Status
CoordViT: A Novel Method of Improve Vision Transformer-Based Speech Emotion Recognition using Coordinate Information Concatenate	Mar 10, 2023	Emotion RecognitionPosition	—Unverified
CopyPaste: An Augmentation Method for Speech Emotion Recognition	Oct 27, 2020	Data AugmentationEmotion Recognition	—Unverified
CO-VADA: A Confidence-Oriented Voice Augmentation Debiasing Approach for Fair Speech Emotion Recognition	Jun 6, 2025	Emotion RecognitionFairness	—Unverified
Cross-Corpus Multilingual Speech Emotion Recognition: Amharic vs. Other Languages	Jul 20, 2023	Cross-corpusEmotion Recognition	—Unverified
Cross-Language Speech Emotion Recognition Using Multimodal Dual Attention Transformers	Jun 23, 2023	Emotion ClassificationEmotion Recognition	—Unverified
Cross-lingual and Multilingual Speech Emotion Recognition on English and French	Mar 1, 2018	Emotion RecognitionSpeech Emotion Recognition	—Unverified
Cross Lingual Cross Corpus Speech Emotion Recognition	Mar 18, 2020	Cross-corpusEmotion Recognition	—Unverified
CTA-RNN: Channel and Temporal-wise Attention RNN Leveraging Pre-trained ASR Embeddings for Speech Emotion Recognition	Mar 31, 2022	Cross-corpusEmotion Recognition	—Unverified
Curriculum Learning for Speech Emotion Recognition from Crowdsourced Labels	May 25, 2018	Emotion RecognitionMulti-class Classification	—Unverified
Improving Speech Emotion Recognition with Unsupervised Speaking Style Transfer	Nov 16, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Deep Implicit Distribution Alignment Networks for Cross-Corpus Speech Emotion Recognition	Feb 17, 2023	Cross-corpusEmotion Recognition	—Unverified
Deep Learning for Speech Emotion Recognition: A CNN Approach Utilizing Mel Spectrograms	Mar 25, 2025	Deep LearningEmotion Recognition	—Unverified
deep learning of segment-level feature representation for speech emotion recognition in conversations	Feb 5, 2023	Emotion RecognitionSpeech Emotion Recognition	—Unverified
Deep Residual Local Feature Learning for Speech Emotion Recognition	Nov 19, 2020	Emotion RecognitionSpeech Emotion Recognition	—Unverified
Deep scattering network for speech emotion recognition	May 11, 2021	Emotion RecognitionSpeech Emotion Recognition	—Unverified
Describe Where You Are: Improving Noise-Robustness for Speech Emotion Recognition with Text Description of the Environment	Jul 25, 2024	Emotion RecognitionLanguage Modeling	—Unverified
Describing emotions with acoustic property prompts for speech emotion recognition	Nov 14, 2022	Emotion RecognitionRetrieval	—Unverified
Designing and Evaluating Speech Emotion Recognition Systems: A reality check case study with IEMOCAP	Apr 3, 2023	Emotion RecognitionSpeech Emotion Recognition	—Unverified
Developing a High-performance Framework for Speech Emotion Recognition in Naturalistic Conditions Challenge for Emotional Attribute Prediction	Jun 12, 2025	AttributeEmotion Recognition	—Unverified
Disentangling Prosody Representations with Unsupervised Speech Reconstruction	Dec 14, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Domain Adapting Deep Reinforcement Learning for Real-world Speech Emotion Recognition	Jul 7, 2022	Cross-corpusDeep Reinforcement Learning	—Unverified
Domain Adversarial for Acoustic Emotion Recognition	Apr 20, 2018	AttributeEmotion Recognition	—Unverified
Double Multi-Head Attention Multimodal System for Odyssey 2024 Speech Emotion Recognition Challenge	Jun 15, 2024	Emotion RecognitionPosition	—Unverified
DSNet: Disentangled Siamese Network with Neutral Calibration for Speech Emotion Recognition	Dec 25, 2023	DisentanglementEmotion Recognition	—Unverified
Dynamic Layer Customization for Noise Robust Speech Emotion Recognition in Heterogeneous Condition Training	Oct 21, 2020	Domain AdaptationEmotion Recognition	—Unverified

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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