On the vulnerability of automatic speaker recognition to spoofing attacks with artificial signals
EUSIPCO 2012, European Signal Processing Conference, August, 27-31, 2012, Bucharest, Romania
Automatic speaker verification (ASV) systems are increasingly being used for biometric authentication even if their vulnerability to imposture or spoofing is now widely acknowledged. Recent work has proposed different spoofing approaches which can be used to test vulnerabilities. This paper introduces a new approach based on artificial, tone-like signals which provoke higher ASV scores than genuine client tests. Experimental results show degradations in the equal error rate from 8.5% to 77.3% and from 4.8% to 64.3% for standard Gaussian mixture model and factor analysis based ASV systems respectively. These findings demonstrate the importance of efforts to develop dedicated countermeasures, some of them trivial, to protect ASV systems from spoofing.
| Mots Clés: | biometrics, speaker verification, spoofing, imposture |
| Type: | Conférence |
| Langue: | English |
| Ville: | Bucharest |
| Pays: | ROUMANIE |
| Date: | Août 2012 |
| Département: | Communications Multimédia |
| Eurecom ref: | 3730 |
| Copyright: | © EURASIP. Personal use of this material is permitted. The definitive version of this paper was published in EUSIPCO 2012, European Signal Processing Conference, August, 27-31, 2012, Bucharest, Romania and is available at : |
| Bibtex: | @inproceedings{EURECOM+3730, year = {2012}, title = {{O}n the vulnerability of automatic speaker recognition to spoofing attacks with artificial signals}, author = {{A}legre, {F}ederico and {V}ipperla, {R}avichander and {E}vans, {N}icholas {WD} and {F}auve, {B}enoit}, booktitle = {{EUSIPCO} 2012, {E}uropean {S}ignal {P}rocessing {C}onference, {A}ugust, 27-31, 2012, {B}ucharest, {R}omania}, address = {{B}ucharest, {ROUMANIE}}, month = {08}, url = {http://www.eurecom.fr/publication/3730} } |
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