BERT + ViT + MFCC
Reported on 2 benchmarks across 2 tasks · 1 paper · 2 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing2 results
- TEST F1 (macro)· 2023-05-06SOTA0.79best: 0.848 (HXP + CLAP + CLIP)
- TEST F1 (macro)· 2023-05-06SOTA0.79best: 0.848 (HXP + CLAP + CLIP)