SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–400 of 431 papers

TitleStatusHype
Deep Residual Local Feature Learning for Speech Emotion Recognition—0
On the use of Self-supervised Pre-trained Acoustic and Linguistic Features for Continuous Speech Emotion Recognition—0
Recognizing More Emotions with Less Data Using Self-supervised Transfer Learning—0
Efficient Arabic emotion recognition using deep neural networksCode0
Empirical Interpretation of Speech Emotion Perception with Attention Based Model for Speech Emotion Recognition—0
Context-Dependent Domain Adversarial Neural Network for Multimodal Emotion Recognition—0
CopyPaste: An Augmentation Method for Speech Emotion Recognition—0
Emotion controllable speech synthesis using emotion-unlabeled dataset with the assistance of cross-domain speech emotion recognition—0
Multi-stream Attention-based BLSTM with Feature Segmentation for Speech Emotion Recognition—0
Dynamic Layer Customization for Noise Robust Speech Emotion Recognition in Heterogeneous Condition Training—0
Multi-Window Data Augmentation Approach for Speech Emotion Recognition—0
Optimizing Speech Emotion Recognition using Manta-Ray Based Feature Selection—0
Is Everything Fine, Grandma? Acoustic and Linguistic Modeling for Robust Elderly Speech Emotion RecognitionCode0
Fine-grained Early Frequency Attention for Deep Speaker Representation Learning—0
A Transfer Learning Method for Speech Emotion Recognition from Automatic Speech Recognition—0
Shallow over Deep Neural Networks: A empirical analysis for human emotion classification using audio data—0
Meta Transfer Learning for Emotion Recognition—0
A Siamese Neural Network with Modified Distance Loss For Transfer Learning in Speech Emotion Recognition—0
ConcealNet: An End-to-end Neural Network for Packet Loss Concealment in Deep Speech Emotion Recognition—0
"I have vxxx bxx connexxxn!": Facing Packet Loss in Deep Speech Emotion Recognition—0
On The Differences Between Song and Speech Emotion Recognition: Effect of Feature Sets, Feature Types, and ClassifiersCode0
Cross Lingual Cross Corpus Speech Emotion Recognition—0
Speech Emotion Recognition using Support Vector Machine—0
Non-linear Neurons with Human-like Apical Dendrite ActivationsCode0
Speech Emotion Recognition Based on Multi-feature and Multi-lingual Fusion—0
Visually Guided Self Supervised Learning of Speech Representations—0
Learning Transferable Features for Speech Emotion Recognition—0
Bimodal Speech Emotion Recognition Using Pre-Trained Language Models—0
Attentive Modality Hopping Mechanism for Speech Emotion RecognitionCode0
Speech Emotion Recognition Using Speech Feature and Word EmbeddingCode0
Speaker-invariant Affective Representation Learning via Adversarial Training—0
Unsupervised Representation Learning with Future Observation Prediction for Speech Emotion Recognition—0
Speech Emotion Recognition via Contrastive Loss under Siamese Networks—0
Speech Emotion Recognition with Dual-Sequence LSTM Architecture—0
Learning Alignment for Multimodal Emotion Recognition from SpeechCode0
Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition—0
Learning Discriminative features using Center Loss and Reconstruction as Regularizer for Speech Emotion Recognition—0
Focal Loss based Residual Convolutional Neural Network for Speech Emotion Recognition—0
Deep Learning based Emotion Recognition System Using Speech Features and TranscriptionsCode0
Speech Emotion Recognition Using Multi-hop Attention MechanismCode0
An Interaction-aware Attention Network for Speech Emotion Recognition in Spoken DialogsCode0
Multimodal Speech Emotion Recognition and Ambiguity ResolutionCode0
Attention-Augmented End-to-End Multi-Task Learning for Emotion Prediction from SpeechCode0
Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG)—0
Towards adversarial learning of speaker-invariant representation for speech emotion recognition—0
Cross Lingual Speech Emotion Recognition: Urdu vs. Western LanguagesCode0
Adversarial Machine Learning And Speech Emotion Recognition: Utilizing Generative Adversarial Networks For Robustness—0
Improving speech emotion recognition via Transformer-based Predictive Coding through transfer learning—0
Integrating Recurrence Dynamics for Speech Emotion RecognitionCode0
Transferable Positive/Negative Speech Emotion Recognition via Class-wise Adversarial Domain Adaptation—0
Show:102550
← PrevPage 8 of 9Next →
All datasetsCREMA-DIEMOCAPRAVDESSMSP-Podcast (Activation)MSP-Podcast (Dominance)MSP-Podcast (Valence)BERStRESDDusha CrowdDusha PodcastEMODBEmoDB Dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Vertically long patch ViTAccuracy94.07—Unverified
2ConformerXL-PAccuracy88.2—Unverified
3CoordViTAccuracy82.96—Unverified
4SepTr + LeRaCAccuracy70.95—Unverified
5SepTrAccuracy70.47—Unverified
6ResNet-18 + SPELAccuracy68.12—Unverified
7ViTAccuracy67.81—Unverified
8ResNet-18 + PyNADAAccuracy65.15—Unverified
9GRUAccuracy55.01—Unverified
#ModelMetricClaimedVerifiedStatus
1SER with MTLUA CV0.78—Unverified
2emoDARTSUA CV0.77—Unverified
3LSTM+FCWA0.76—Unverified
4TAPWA CV0.74—Unverified
5SYSCOMB: BLSTMATT with CSA (session5)UA0.74—Unverified
6Partially Fine-tuned HuBERT LargeWA CV0.73—Unverified
7CNN - DARTSUA0.7—Unverified
8CNN+LSTMUA0.65—Unverified
#ModelMetricClaimedVerifiedStatus
1VQ-MAE-S-12 (Frame) + Query2EmoAccuracy84.1—Unverified
2CNN-X (Shallow CNN)Accuracy82.99—Unverified
3xlsr-Wav2Vec2.0(FineTuning)Accuracy81.82—Unverified
4CNN-14 (Fine-Tuning)Accuracy76.58—Unverified
5AlexNet (FineTuning)Accuracy61.67—Unverified
#ModelMetricClaimedVerifiedStatus
1wav2small-TeacherCCC0.76—Unverified
2wavlmCCC0.75—Unverified
3w2v2-L-robust-12CCC0.75—Unverified
4preCPCCCC0.71—Unverified
#ModelMetricClaimedVerifiedStatus
1wav2small-TeacherCCC0.68—Unverified
2wavlmCCC0.67—Unverified
3w2v2-L-robust-12CCC0.66—Unverified
4preCPCCCC0.64—Unverified
#ModelMetricClaimedVerifiedStatus
1wav2small-TeacherCCC0.68—Unverified
2wavlmCCC0.65—Unverified
3w2v2-L-robust-12CCC0.64—Unverified
4preCPCCCC0.38—Unverified
#ModelMetricClaimedVerifiedStatus
1DAWN-hidden-SVMUnweighted Accuracy (UA)32.1—Unverified
2Wav2Small-VAD-SVMUnweighted Accuracy (UA)23.3—Unverified
3Speechbrain Wav2Vec2Unweighted Accuracy (UA)20.7—Unverified
#ModelMetricClaimedVerifiedStatus
1emotion2vec+baseWeighted Accuracy (WA)79.4—Unverified
2emotion2vec+largeWeighted Accuracy (WA)69.5—Unverified
3emotion2vecWeighted Accuracy (WA)64.75—Unverified
#ModelMetricClaimedVerifiedStatus
1Dusha baselineMacro F10.77—Unverified
#ModelMetricClaimedVerifiedStatus
1Dusha baselineMacro F10.54—Unverified
#ModelMetricClaimedVerifiedStatus
1VGG-optiVMD1:1 Accuracy96.09—Unverified
#ModelMetricClaimedVerifiedStatus
1VQ-MAE-S-12 (Frame) + Query2EmoAccuracy90.2—Unverified
#ModelMetricClaimedVerifiedStatus
1PyResNetUnweighted Accuracy (UA)0.43—Unverified
#ModelMetricClaimedVerifiedStatus
1emoDARTSUA0.66—Unverified
#ModelMetricClaimedVerifiedStatus
1LSTMCCC (Arousal)0.76—Unverified
#ModelMetricClaimedVerifiedStatus
1CNN (1D)Unweighted Accuracy65.2—Unverified