Name
Title | ||
|---|---|---|
Vulnerability of Voice Verification System with STC Anti-spoofing Detector to Different Methods of Spoofing Attacks. |
Abstract | ||
|---|---|---|
This paper explores the robustness of a text-independent voice verification system against different methods of spoofing attacks based on speech synthesis and voice conversion techniques. Our experiments show that spoofing attacks based on the speech synthesis are most dangerous, but the use of standard TV-JFA approach based spoofing detection module can reduce the False Acceptance error rate of the whole speaker recognition system from 80% to 1%. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-23132-7_59 | Lecture Notes in Artificial Intelligence |
Keywords | Field | DocType |
Spoofing,Anti-spoofing,Speaker recognition,TV,SVM | Speech synthesis,Spoofing attack,Computer science,Word error rate,Support vector machine,Speech recognition,Robustness (computer science),Speaker recognition,Detector,Vulnerability | Conference |
Volume | ISSN | Citations |
9319 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vadim Shchemelinin | 1 | 26 | 4.56 |
| Alexander Kozlov | 2 | 37 | 6.27 |
| Galina Lavrentyeva | 3 | 24 | 7.40 |
| Sergey Novoselov | 4 | 51 | 10.57 |
| Konstantin Simonchik | 5 | 28 | 6.52 |