Metric: F1 (%) (higher is better)
| # | Model↕ | F1 (%)▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | W2V2-L-LL60K (pipeline approach, uses LM) | 63.3 | No | SLUE: New Benchmark Tasks for Spoken Language Un... | 2021-11-19 | Code |
| 2 | W2V2-L-LL60K (pipeline approach) | 63.3 | No | SLUE: New Benchmark Tasks for Spoken Language Un... | 2021-11-19 | Code |
| 3 | W2V2-B-LS960 (pipeline approach, uses LM) | 62.9 | No | SLUE: New Benchmark Tasks for Spoken Language Un... | 2021-11-19 | Code |
| 4 | W2V2-B-LS960 (pipeline approach) | 61.8 | No | SLUE: New Benchmark Tasks for Spoken Language Un... | 2021-11-19 | Code |
| 5 | W2V2-L-LL60K (e2e approach) | 48.5 | No | SLUE: New Benchmark Tasks for Spoken Language Un... | 2021-11-19 | Code |
| 6 | HuBERT-B-LS960 (e2e approach) | 48 | No | SLUE: New Benchmark Tasks for Spoken Language Un... | 2021-11-19 | Code |
| 7 | W2V2-B-LS960 (e2e approach) | 46.6 | No | SLUE: New Benchmark Tasks for Spoken Language Un... | 2021-11-19 | Code |
| 8 | W2V2-B-VP100K (e2e approach) | 38.4 | No | SLUE: New Benchmark Tasks for Spoken Language Un... | 2021-11-19 | Code |