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Speech Classification on VF

99.2AccuracyWav2Vec2
74.13680.64387.1593.657Oct 26, 2022Mar 22, 2023Aug 16, 2023Jan 11, 2024Jun 6, 2024Oct 31, 2024Mar 28, 2025

Evaluation results

MethodLinks
Wav2Vec2Evaluation protocol=Linear evaluation2022.1099.2
ATST-FrameAudio enc. fine-tuning on AudioSet=false2025.0398.8
M2D-AS# Params=86M, Masking ratio=0.7, Evaluation protocol=Linear evaluation2024.0498.4
M2DAudio enc. fine-tuning on AudioSet=false2025.0398.3
M2D-CLAP stage1 2024Audio enc. fine-tuning on AudioSet=false2025.0398.3
M2D# Params=86M, Masking ratio=0.7, Evaluation protocol=Linear evaluation2024.0498.3
M2DNumber of Parameters=86M, Masking ratio=0.7, Target Feeding=masked patches, Linear Evaluation=true2024.0498.3
M2DNumber of Parameters=86M, Masking ratio=0.7, Target Feeding=all patches, Linear Evaluation=true2024.0498.2
M2DNumber of Parameters=86M, Masking ratio=0.6, Target Feeding=masked patches, Linear Evaluation=true2024.0498.2
M2D-CLAP stage1 2025Audio enc. fine-tuning on AudioSet=false2025.0398.1
M2DEvaluation protocol=Linear evaluation, Masking ratio=0.62022.1097.9
MSM-MAENumber of Parameters=86M, Masking ratio=0.75, Linear Evaluation=true2024.0497.8
M2DNumber of Parameters=86M, Masking ratio=0.6, Target Feeding=all patches, Linear Evaluation=true2024.0497.8
M2DEvaluation protocol=Linear evaluation, Masking ratio=0.72022.1097.7
ATST-ClipAudio enc. fine-tuning on AudioSet=false2025.0397.6
ATST BaseNumber of Parameters=86M, Linear Evaluation=true2024.0497.6
MSM-MAEEvaluation protocol=Linear evaluation2022.1097.5
ATST BaseEvaluation protocol=Linear evaluation, Variant=Base2022.1097.4
M2D-CLAP2025Audio enc. fine-tuning on AudioSet=true2025.0397.1
M2DASAudio enc. fine-tuning on AudioSet=true2025.0396.9
SF NFNet-F0Evaluation protocol=Linear evaluation2022.1095.4
CEDAudio enc. fine-tuning on AudioSet=false2025.0394.8
BEATsiter3Audio enc. fine-tuning on AudioSet=false2025.0394.1
BEATSiter3Number of Parameters=90M, Linear Evaluation=true2024.0494.1
BYOL-AEvaluation protocol=Linear evaluation2022.1093.3
BYOL-ANumber of Parameters=5.3M, Linear Evaluation=true2024.0493.3
BEATsiter3+Audio enc. fine-tuning on AudioSet=true2025.0392.5
BEATSiter3+# Params=90M, Evaluation protocol=Linear evaluation2024.0492.5
BEATSiter3+Number of Parameters=90M, Linear Evaluation=true2024.0492.5
SF NFNet-F0Number of Parameters=63M, Linear Evaluation=true2024.0490.4
CLAP2023Audio enc. fine-tuning on AudioSet=true2025.0389.6
ConformerXL-P Non-RAEvaluation protocol=Linear evaluation, Variant=Non-RA2022.1088.2
DeLoRes-MEvaluation protocol=Linear evaluation2022.1088
DeLoRes-MNumber of Parameters=5.3M, Linear Evaluation=true2024.0488
AST-Fusion#5#12Evaluation protocol=Linear evaluation, Variant=#5#122022.1087.6
AST-Fusion#5#12Number of Parameters=86M, Linear Evaluation=true2024.0487.6
HTS-ATAudio enc. fine-tuning on AudioSet=true2025.0382.3
HTS-AT# Params=31M, Evaluation protocol=Linear evaluation2024.0482.3
HTS-ATNumber of Parameters=31M, Linear Evaluation=true2024.0482.3
ASTAudio enc. fine-tuning on AudioSet=true2025.0381.2
AST# Params=86M, Evaluation protocol=Linear evaluation2024.0481.2
ASTNumber of Parameters=86M, Linear Evaluation=true2024.0481.2
LAION-CLAPAudio enc. fine-tuning on AudioSet=true2025.0380.3
WavCapsAudio enc. fine-tuning on AudioSet=true2025.0380
BYOL-SEvaluation protocol=Linear evaluation2022.1076.9
CLAP2022Audio enc. fine-tuning on AudioSet=true2025.0375.8
PANNs CNN14Audio enc. fine-tuning on AudioSet=true2025.0375.1