Speaker Verification On Voxceleb
Metriken
EER
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | EER |
|---|---|
| reshape-dimensions-network-for-speaker-1 | 0.57 |
| espnet-spk-full-pipeline-speaker-embedding | 0.39 |
| voxblink2-a-100k-speaker-recognition-corpus | 0.20 |
| reshape-dimensions-network-for-speaker-1 | 0.5 |
| titanet-neural-model-for-speaker | 1.15 |
| reshape-dimensions-network-for-speaker-1 | 0.37 |
| speechnas-towards-better-trade-off-between | 1.02 |
| reshape-dimensions-network-for-speaker-1 | 1.07 |
| multi-task-voice-activated-framework-using | 1.98 |
| reshape-dimensions-network-for-speaker-1 | 0.47 |
| titanet-neural-model-for-speaker | 0.68 |
| reshape-dimensions-network-for-speaker-1 | 1.16 |
| reshape-dimensions-network-for-speaker-1 | 0.44 |
| reshape-dimensions-network-for-speaker-1 | 0.51 |
| reshape-dimensions-network-for-speaker-1 | 0.39 |
| reshape-dimensions-network-for-speaker-1 | 0.4 |
| reshape-dimensions-network-for-speaker-1 | 0.85 |
| titanet-neural-model-for-speaker | 0.81 |
| reshape-dimensions-network-for-speaker-1 | 0.43 |
| reshape-dimensions-network-for-speaker-1 | 0.52 |
| reshape-dimensions-network-for-speaker-1 | 0.73 |