Speaker Recognition On Voxceleb1
Metrics
EER
Results
Performance results of various models on this benchmark
Model Name | EER | Paper Title | Repository |
|---|---|---|---|
| WavLM+ECAPA-TDNN | 0.39 | ESPnet-SPK: full pipeline speaker embedding toolkit with reproducible recipes, self-supervised front-ends, and off-the-shelf models | - |
| w2v2-aam | 1.88 | Fine-tuning wav2vec2 for speaker recognition | - |
0 of 2 row(s) selected.