Paper Info
Title
Examining Vulnerability of Voice Verification Systems to Spoofing Attacks by Means of a TTS System
Abstract
This paper examines the method of spoofing text-dependent voice verification systems based on the most popular TTS approaches: Unit Selection and HMM. Research of this method shows the possibility of achieving a false acceptance error of 98%-100% if the duration of the TTS database is sufficiently large. A distinctive feature of the method is that it can be fully automatical if used in conjunction with a speech recognition system.
Year
DOI
Venue
2013
10.1007/978-3-319-01931-4_18
SPECOM
Keywords
Field
DocType
unit selection,spoofing,hmm,speech synthesis,speaker recognition
Speech synthesis,Spoofing attack,Computer science,Speech recognition,Speaker recognition,Distinctive feature,Hidden Markov model,Vulnerability
Conference
Citations 
PageRank 
References 
3
0.83
3
Authors
2
Name
Order
Citations
PageRank
Vadim Shchemelinin1264.56
Konstantin Simonchik2286.52