Title
Voice Biometrics Security: Extrapolating False Alarm Rate via Hierarchical Bayesian Modeling of Speaker Verification Scores
Abstract
•Security evaluation of automatic speaker verification for arbitrarily large population.•Bayesian generative model of non-target scores.•From random-impostor evaluation to worst-case impostor false alarm rate.•Analysis of i-vector and x-vector systems up to 100,000 simulated impostors.
Year
DOI
Venue
2020
10.1016/j.csl.2019.101024
Computer Speech & Language
Keywords
Field
DocType
Speaker verification,Population size,Security,False alarm rate,Random impostor,Closest impostor,Bayesian score modeling,VoxCeleb
Speaker verification,False alarm,Bayesian inference,Computer science,Speech recognition,Speaker recognition,NIST,Constant false alarm rate,Arbitrarily large,Generative model
Journal
Volume
ISSN
Citations 
60
0885-2308
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Alexey Sholokhov100.34
Tomi Kinnunen2132386.67
Ville Vestman3296.42
Kong-Aik Lee470960.64