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 %.
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References
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This work was partially financially supported by the Government of Russian Federation, Grant 074-U01.
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Shchemelinin, V., Kozlov, A., Lavrentyeva, G., Novoselov, S., Simonchik, K. (2015). Vulnerability of Voice Verification System with STC Anti-spoofing Detector to Different Methods of Spoofing Attacks. 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_59
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DOI: https://doi.org/10.1007/978-3-319-23132-7_59
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