ISV modeling for speaker verification on AVspoof dataset (full genuine data)
| eer | 0.0479927 |
|---|---|
| far_dev | 0.0479381 |
| far_test | 0.052294 |
| frr_dev | 0.0480473 |
| frr_test | 0.0314359 |
| hter | 0.0418649 |
| threshold | 0.485038 |
| number_of_negatives_dev | 54925 |
| number_of_negatives_test | 70620 |
| number_of_positives_dev | 4225 |
| number_of_positives_test | 4708 |
| roc_dev | |
| roc_test |
This is an automatic speaker verification (ASV) system based on ISV modeling for a typical licit scenario. In this scenario, there are no spoofing attacks present, only genuine zero-impostors. Full AVspoof database is used in this experiment. GMM with 256 Gaussians was used to train a UBM.
| Updated | Name | Actions | |
|---|---|---|---|
| July 15, 2016 | pkorshunov/ISV-based-ASV-system-licit-scenario (Performance of ISV-based ASV system on data with no attacks) |