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
Transfer Learning for Improving Speech Emotion Classification Accuracy	Jan 19, 2018	ClassificationCross-corpus	CodeCode Available
Evaluating Gammatone Frequency Cepstral Coefficients with Neural Networks for Emotion Recognition from Speech	Jun 23, 2018	ClassificationEmotion Recognition	CodeCode Available
MEDUSA: A Multimodal Deep Fusion Multi-Stage Training Framework for Speech Emotion Recognition in Naturalistic Conditions	Jun 11, 2025	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available
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
ExHuBERT: Enhancing HuBERT Through Block Extension and Fine-Tuning on 37 Emotion Datasets	Jun 11, 2024	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available
Explaining Deep Learning Embeddings for Speech Emotion Recognition by Predicting Interpretable Acoustic Features	Sep 14, 2024	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available
MELT: Towards Automated Multimodal Emotion Data Annotation by Leveraging LLM Embedded Knowledge	May 30, 2025	Emotion RecognitionSelf-Supervised Learning	CodeCode Available
Exploring Multilingual Unseen Speaker Emotion Recognition: Leveraging Co-Attention Cues in Multitask Learning	Jun 13, 2024	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available
Unlocking the Emotional States of High-Risk Suicide Callers through Speech Analysis	Mar 22, 2024	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available
End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks	Oct 7, 2021	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available
A novel policy for pre-trained Deep Reinforcement Learning for Speech Emotion Recognition	Jan 4, 2021	Cross-corpusDeep Reinforcement Learning	CodeCode Available
Multi-modal Speech Emotion Recognition via Feature Distribution Adaptation Network	Oct 29, 2024	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available
Cross-Lingual Speech Emotion Recognition: Humans vs. Self-Supervised Models	Sep 25, 2024	Emotion Recognitionparameter-efficient fine-tuning	CodeCode Available
Filter-based multi-task cross-corpus feature learning for speech emotion recognition	Feb 20, 2024	Cross-corpusEmotion Recognition	CodeCode Available
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
Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion Recognition	Jan 5, 2021	Emotion RecognitionFew-Shot Learning	CodeCode Available
Attentive Modality Hopping Mechanism for Speech Emotion Recognition	Nov 29, 2019	Emotion ClassificationEmotion Recognition	CodeCode Available
Multi-Teacher Language-Aware Knowledge Distillation for Multilingual Speech Emotion Recognition	Jun 10, 2025	Emotion RecognitionKnowledge Distillation	CodeCode Available
Emotional Vietnamese Speech-Based Depression Diagnosis Using Dynamic Attention Mechanism	Dec 11, 2024	Speech Emotion Recognition	CodeCode Available
Attention Based Fully Convolutional Network for Speech Emotion Recognition	Jun 5, 2018	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available
TBDM-Net: Bidirectional Dense Networks with Gender Information for Speech Emotion Recognition	Sep 16, 2024	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available
Attention-Augmented End-to-End Multi-Task Learning for Emotion Prediction from Speech	Mar 29, 2019	Emotion RecognitionMulti-Task Learning	CodeCode Available
Crossmodal ASR Error Correction with Discrete Speech Units	May 26, 2024	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available
Speech Emotion Recognition with ASR Transcripts: A Comprehensive Study on Word Error Rate and Fusion Techniques	Jun 12, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Efficient Arabic emotion recognition using deep neural networks	Oct 31, 2020	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available

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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