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ResearchFormerly WizWand

Audio Classification on Crema-D

78.9AccuracyF3-Tokenizer
9.84427.77245.763.628May 18, 2022Jan 19, 2023Sep 22, 2023May 26, 2024Jan 27, 2025Sep 30, 2025Jun 4, 2026
Updated 4mo ago

Evaluation results

MethodLinks
F3-TokenizerProbing=Frozen representation2026.0678.9
M2D/0.7#Params=86M, Protocol=Linear Probing2025.1273
ATST-Frame#Params=86M, Protocol=Linear Probing2025.1272.3
LeRaCTraining Regime=LeRaC, Model=SepTr2022.0570.95
conventionalTraining Regime=conventional, Model=SepTr2022.0570.47
w/o LLMProbing=Frozen representation2026.0670.4
CBSTraining Regime=CBS, Model=SepTr2022.0569.98
LeRaCTraining Regime=LeRaC, Model=DenseNet-1212022.0568.99
AaPE#Params=87M, Protocol=Linear Probing2025.1268.7
CBSTraining Regime=CBS, Model=DenseNet-1212022.0568.16
conventionalTraining Regime=conventional, Model=DenseNet-1212022.0567.21
Ming-UProbing=Frozen representation2026.0666.85
BEATs_iter3#Params=90M, Protocol=Linear Probing2025.1264.7
FedMLAC#Clients=18, Active Ratio=20%, Model Homogeneity=homogeneous2025.0663.04
FedKAD#Clients=18, Active Ratio=20%, Model Homogeneity=homogeneous2025.0662.17
w/o RQProbing=Frozen representation2026.0661.2
FedProx#Clients=18, Active Ratio=20%, Model Homogeneity=homogeneous2025.0661.02
FedAvg#Clients=18, Active Ratio=20%, Model Homogeneity=homogeneous2025.0660.84
EfficientLEAFFilterbank=Gabor 8G-opt, Compression=L-M-TBN2022.0760.2
STFT-MelFilterbank=STFT-Mel*, Compression=L-M-TBN*2022.0758.8
FedOPT#Clients=18, Active Ratio=20%, Model Homogeneity=homogeneous2025.0658.47
EfficientLEAFFilterbank=Gabor 4G, Compression=L-M-TBN2022.0758
WhisperProbing=Frozen representation2026.0657.2
LEAFFilterbank=Gabor, Compression=PCEN2022.0750.2
EfficientLEAFFilterbank=Gabor 4G, Compression=PCEN2022.0750
No repr.Probing=Frozen representation2026.0612.5