ISV modeling for speaker verification on AVspoof dataset (full genuine data)

Outputs for block analysis

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
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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.

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