Name
Title | ||
|---|---|---|
Spoofing countermeasures to protect automatic speaker verification from voice conversion |
Abstract | ||
|---|---|---|
This paper presents a new countermeasure for the protection of automatic speaker verification systems from spoofed, converted voice signals. The new countermeasure exploits the common shift applied to the spectral slope of consecutive speech frames involved in the mapping of a spoofer's voice signal towards a statistical model of a given target. While the countermeasure exploits prior knowledge of the attack in an admittedly unrealistic sense, it is shown to detect almost all spoofed signals which otherwise provoke significant increases in false acceptance. The work also discusses the need for formal evaluations to develop new countermeasures which are less reliant on prior knowledge. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICASSP.2013.6638222 | Acoustics, Speech and Signal Processing |
Keywords | Field | DocType |
speaker recognition,statistical analysis,automatic speaker verification systems,formal evaluations,spoofer voice signal,statistical model,voice conversion,automatic speaker verification,biometrics,countermeasures,imposture,spoofing | Countermeasure,Speaker verification,Spoofing attack,Pattern recognition,Computer science,Speech recognition,Exploit,Speaker recognition,Artificial intelligence,Statistical model,Biometrics,Statistical analysis | Conference |
ISSN | Citations | PageRank |
1520-6149 | 30 | 1.01 |
References | Authors | |
16 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Federico Alegre | 1 | 93 | 4.74 |
| Asmaa Amehraye | 2 | 68 | 3.94 |
| nicholas evans | 3 | 594 | 54.41 |