Abstract
This article is the proceeding of the priority research direction of the voice biometrics systems spoofing problem. We continue exploring speech synthesis spoofing attacks based on creating a text-to-speech voice. In our work we focused on the completely automatic way to create new voices for text-to-speech system and the investigation of the state-of-art spoofing detection system vulnerability to this spoofing attacks. Results obtained during our experiments demonstrate that 10 seconds of speech material is enough for EER increasement up to 19.67 %. Considering the fact, that automatic method for synthesis voiced training allows perpetrators to increase the amount of spoofing attacks to biometric systems, we raise the issue of relevance of a new type of spoofing attack, and development of the effective methods to detect it.
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References
Wu, Z., et al.: Spoofing and countermeasures for speaker verification: a survey. Speech Commun. 66, 130–153 (2015)
Matveev, Y.N.: Biometric technologies of person identification by voice and other modalities. Vestnik MGTU. Priborostroenie 3(3), 46–61 (2012)
Kozlov, A., Kudashev, O., Matveev, Y., Pekhovsky, T., Simonchik, K., Shulipa, A.: SVID speaker recognition system for NIST SRE 2012. In: Železný, M., Habernal, I., Ronzhin, A. (eds.) SPECOM 2013. LNCS, vol. 8113, pp. 278–285. Springer, Heidelberg (2013)
Novoselov, S., Pekhovsky, T., Simonchik, K.: STC speaker recognition system for the NIST i-vector challenge. In: Proceedings of the Odyssey 2014 - The Speaker and Language Recognition Workshop (2014)
Villalba, E., Lleida, E.: Speaker verification performance degradation against spoofing and tampering attacks. In: Proceedings of the FALA 2010 Workshop, pp. 131–134 (2010)
Shchemelinin, V., Topchina, M., Simonchik, K.: Vulnerability of voice verification systems to spoofing attacks by TTS voices based on automatically labeled telephone speech. In: Ronzhin, A., Potapova, R., Delic, V. (eds.) SPECOM 2014. LNCS, vol. 8773, pp. 475–481. Springer, Heidelberg (2014). (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Marcel, S., Nixon, M.S., Li, S.Z.: Handbook of Biometric Anti-spoofing: Trusted Biometrics Under Spoofing Attacks. Springer, New York (2014)
Wu, Z., et al.: ASVspoof 2015: the first automatic speaker verification spoofing and countermeasures challenge 2015. http://www.spoofingchallenge.org/is2015_asvspoof.pdf
Novoselov, S., et al.: STC Anti-spoofing systems for the ASVspoof 2015 challenge. http://ris.ifmo.ru/wp-content/uploads/2015/06/Technical_report_ASVspoof2015_STC.pdf
Dehak, N., et al. : Support vector machines versus fast scoring in the low-dimensional total variability space for speaker verification. In: Proceedings of the Interspeech, pp. 1559–1562 (2009)
Chistikov, P., Korolkov, E.: Data-driven speech parameter generation for russian text-to-speech system. computational linguistics and intellectual technologies. In: Proceedings of the Annual International Conference “Dialogue”, Issue 11(18), vol. 1. pp. 103–111 (2012)
Simonchik, K., Shchemelinn, V.: “STC SPOOFING” database for text-dependent speaker recognition evaluation. In: Proceedings of SLTU-2014 Workshop St. Petersburg, Russia, pp. 221–224 (2014)
Tomashenko, N.A., Khokhlov, Y.Y.: Fast algorithm for automatic alignment of speech and imperfect text data. In: Železný, M., Habernal, I., Ronzhin, A. (eds.) SPECOM 2013. LNCS, vol. 8113, pp. 146–153. Springer, Heidelberg (2013)
Solomennik, A., Chistikov, P., Rybin, S., Talanov, A., Tomashenko, N.: Automation of new voice creation procedure for a russian TTS system. Vestnik MGTU. Priborostroenie 2, 29–32 (2013)
Yamagishi, J., et al.: Analysis of speaker adaptation algorithms for HMM-based speech synthesis and a constrained smaplr adaptation algorithm, IEEE Trans. Audio, Speech Lang. Process. 17(1), 66–83 (2009)
Wu, Z., et al.: A study on replay attack and anti-spoofing for text-dependent speaker verification. In: Proceedings of the Asia-Pacific Signal Information Processing Association Annual Summit and Conference (APSIPA ASC) (2014)
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This work was partially nancially supported by the Government of Russian Federation, Grant 074-U01.
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Lavrentyeva, G., Kozlov, A., Novoselov, S., Simonchik, K., Shchemelinin, V. (2015). Automatically Trained TTS for Effective Attacks to Anti-spoofing System. In: Ronzhin, A., Potapova, R., Fakotakis, N. (eds) Speech and Computer. SPECOM 2015. Lecture Notes in Computer Science(), vol 9319. Springer, Cham. https://doi.org/10.1007/978-3-319-23132-7_17
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DOI: https://doi.org/10.1007/978-3-319-23132-7_17
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