On the vulnerability of automatic speaker recognition to spoofing attacks with artificial signals

European Signal Processing Conference

Volumn , Issue , 2012, Pages 36-40

  Alegre, Federico ^a   Vipperla, Ravichander ^a   Evans, Nicholas ^a   Fauve, Benoît ^b  

^a EURECOM   (France)

^b VALIDSOFT LTD   (United Kingdom)

Author keywords

biometrics; imposture; speaker verification; spoofing

Indexed keywords

ARTIFICIAL SIGNALS; AUTOMATIC SPEAKER RECOGNITION; AUTOMATIC SPEAKER VERIFICATION; BIOMETRIC AUTHENTICATION; EQUAL ERROR RATE; GAUSSIAN MIXTURE MODEL; IMPOSTURE; SPEAKER VERIFICATION; SPOOFING; SPOOFING ATTACKS;

BIOMETRICS; FACE RECOGNITION; SIGNAL PROCESSING;

SPEECH RECOGNITION;

EID: 84869773314     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. M. Faundez-Zanuy, "On the vulnerability of biometric security systems," IEEE Aerospace and Electronic Systems Magazine, vol. 19, no. 6, pp. 3-8, june 2004.
2. M. Farrs, M. Wagner, J. Anguita, and J. Hern, "How vulnerable are prosodic features to professional imitators?," in Odyssey, 2008.
3. M. Blomberg, D. Elenius, and E. Zetterholm, "Speaker verification scores and acoustic analysis of a professional impersonator," in FONETIK, 2004.
4. J. Lindberg and M. Blomberg, "Vulnerability in speaker verification-a study of technical impostor techniques," in European Conference on Speech Communication and Technology, 1999, pp. 1211-1214.
5. J. Villalba and E. Lleida, "Speaker verification performance degradation against spoofing and tampering attacks," in FALA workshop, 2010, pp. 131-134.
6. P. Perrot, G. Aversano, R. Blouet, M. Charbit, and G. Chollet, "Voice forgery using ALISP : Indexation in a Client Memory," in IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005, vol. 1, pp. 17-20.
7. J.-F. Bonastre, D. Matrouf, and C. Fredouille, "Artificial impostor voice transformation effects on false acceptance rates," in Proc. Interspeech, 2007, pp. 2053-2056.
8. T. Kinnunen, Z. Wu, K. A. Lee, F. Sedlak, E. S. Chng, and H. Li, "Vulnerability of Speaker Verification Systems Against Voice Conversion Spoofing Attacks: the case of Telephone Speech," in Proc. ICASSP, 2012, pp. 4401-4404.
9. T. Masuko, T. Hitotsumatsu, K. Tokuda, and T. Kobayashi, "On the security of HMM-based speaker verification systems against imposture using synthetic speech," in EUROSPEECH, 1999.
10. P. L. De Leon, V. R. Apsingekar, M. Pucher, and J. Yamagishi, "Revisiting the security of speaker verification systems against imposture using synthetic speech," in IEEE International Conference on Acoustics Speech and Signal Processing, march 2010, pp. 1798-1801.
11. G. Zuo and W. Liu, "Genetic algorithm based RBF neural network for voice conversion," in Fifth World Congress on Intelligent Control and Automation, june 2004, vol. 5, pp. 4215-4218.
12. C. Zhi and Z. Ling-hua, "Voice conversion based on Genetic Algorithms," in 12th IEEE International Conference on Communication Technology (ICCT), nov. 2010, pp. 1407-1409.
13. P.-Y. Oudeyer, "The production and recognition of emotions in speech: Features and Algorithms," International Journal of Human-Computer Studies, vol. 59, pp. 157-183, 2003.
14. J.-F. Bonastre, N. Scheffer, C. Fredouille, and D. Matrouf, "NIST'04 speaker recognition evaluation campaign: new LIA speaker detection platform based on ALIZE toolkit," in NIST SRE'04, 2004.
15. B. G. B. Fauve, D. Matrouf, N. Scheffer, J.-F. Bonastre, and J. S. D. Mason, "State-of-the-art performance in textindependent speaker verification through open-source software," IEEE Transactions on Audio Speech and Language processing, vol. 15, no. 7, pp. 1960-1968, 2007.
16. D. Matrouf, N. Scheffer, B. Fauve, and J.-F. Bonastre, "A straightforward and efficient implementation of the factor analysis model for speaker verification," in Proc. Interspeech, 2007.