Speech Classification on Speech Commands v2
98.8AccuracyASiT
Evaluation Results
| Method | Links | |
|---|---|---|
| ASiTBackbone=ViT-B/16, Pre-training Data=AS, Pre-training Parameters=96M, Fine-tuning Parameters=86M, Evaluation Protocol=fine-tuning2026.05 | 98.8 | |
| A-JEPABackbone=ViT-B/16, Pre-training Data=AS, Pre-training Parameters=354M, Fine-tuning Parameters=86M, Evaluation Protocol=fine-tuning2026.05 | 98.5 | |
| AudioMosaicBackbone=ViT-B/16, Pre-training Data=AS, Pre-training Parameters=86M, Fine-tuning Parameters=86M, Evaluation Protocol=fine-tuning2026.05 | 98.4 | |
| Audio-MAEBackbone=ViT-B/16, Pre-training Data=AS, Pre-training Parameters=137M, Fine-tuning Parameters=86M, Evaluation Protocol=fine-tuning2026.05 | 98.3 | |
| BEATsiter3Backbone=ViT-B/16, Pre-training Data=AS, Pre-training Parameters=182M, Fine-tuning Parameters=91M, Evaluation Protocol=fine-tuning2026.05 | 98.3 | |
| EATBackbone=ViT-B/16, Pre-training Data=AS, Pre-training Parameters=93M, Fine-tuning Parameters=88M, Evaluation Protocol=fine-tuning2026.05 | 98.3 | |
| ASTBackbone=ViT-B/16, Pre-training Data=IN, Pre-training Parameters=86M, Fine-tuning Parameters=86M, Evaluation Protocol=fine-tuning2026.05 | 98.1 | |
| SSLAMBackbone=ViT-B/16, Pre-training Data=AS, Pre-training Parameters=93M, Fine-tuning Parameters=88M, Evaluation Protocol=fine-tuning2026.05 | 98.1 | |
| SS-ASTBackbone=ViT-B/16, Pre-training Data=AS+LS, Pre-training Parameters=89M, Fine-tuning Parameters=89M, Evaluation Protocol=fine-tuning2026.05 | 98 | |
| MAE-ASTBackbone=ViT-B/16, Pre-training Data=AS+LS, Pre-training Parameters=174M, Fine-tuning Parameters=86M, Evaluation Protocol=fine-tuning2026.05 | 97.9 | |
| MaskSpecBackbone=ViT-B/16, Pre-training Data=AS, Pre-training Parameters=112M, Fine-tuning Parameters=86M, Evaluation Protocol=fine-tuning2026.05 | 97.7 | |
| BYOL-ABackbone=CNN, Pre-training Data=AS, Pre-training Parameters=5M, Fine-tuning Parameters=5M, Evaluation Protocol=fine-tuning2026.05 | 92.2 | |
| MSM-MAEBackbone=ViT-B/16-8, Pre-training Data=AS, Pre-training Parameters=93M, Fine-tuning Parameters=86M, Evaluation Protocol=fine-tuning2026.05 | 87.3 | |
| COLABackbone=CNN, Pre-training Data=AS, Pre-training Parameters=5M, Fine-tuning Parameters=5M, Evaluation Protocol=fine-tuning2026.05 | 76.8 | |
| PANNBackbone=CNN, Fine-tuning Parameters=81M, Evaluation Protocol=fine-tuning2026.05 | 61.8 |