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 | |
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July 15, 2016 | pkorshunov/ISV-based-ASV-system-licit-scenario (Performance of ISV-based ASV system on data with no attacks) |