LOGICAL ACCESS ATTACKS DETECTION THROUGH AUDIO FINGERPRINTING IN AUTOMATIC SPEAKER VERIFICATION

@article{Espn2018LOGICALAA,
  title={LOGICAL ACCESS ATTACKS DETECTION THROUGH AUDIO FINGERPRINTING IN AUTOMATIC SPEAKER VERIFICATION},
  author={Juan Manuel Esp{\'i}n and Roberto Font and Javier G. Mar{\'i}n-Bl{\'a}zquez and Francisco Esquembre},
  journal={2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP)},
  year={2018},
  pages={1-6}
}
  • J. M. EspínR. Font F. Esquembre
  • Published 1 September 2018
  • Computer Science
  • 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP)
Automatic Speaker Verification (ASV) is being implemented in many applications, where maximum security and robustness against attacks must be guaranteed. One of the most challenging attacks that an ASV system can face is the so called "logical access attack", in which the attacker has the possibility to directly inject a compromised audio sample into the system. The development of countermeasures for this kind of attack has received little attention to date. When the injected audio is identical… 
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