Skip to main content

Examining Vulnerability of Voice Verification Systems to Spoofing Attacks by Means of a TTS System

  • Conference paper
Speech and Computer (SPECOM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8113))

Included in the following conference series:


This paper examines the method of spoofing text-dependent voice verification systems based on the most popular TTS approaches: Unit Selection and HMM. Research of this method shows the possibility of achieving a false acceptance error of 98%-100% if the duration of the TTS database is sufficiently large. A distinctive feature of the method is that it can be fully automatical if used in conjunction with a speech recognition system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Matveev, Y.N.: Biometric technologies of person identification by voice and other modalities, Vestnik MGTU. Priborostroenie. Biometric Technologies, Special Issue 3(3), 46–61 (2012) (Rus.)

    Google Scholar 

  2. Wu, Z., Kinnunen, T., Chng, E.S., Li, H., Ambikairajah, E.: A Study on spoofing attack in state-of-the-art speaker verification: the telephone speech case. In: Proc. APSIPA ASC 2012, Hollywood, USA, pp. 1–5 (December 2012)

    Google Scholar 

  3. Kenny, P.: Bayesian speaker verification with heavy tailed priors. In: Proceedings of the Odyssey Speaker and Language Recognition Workshop, Brno, Czech Republic (June 2010)

    Google Scholar 

  4. Simonchik, K., Pekhovsky, T., Shulipa, A., Afanasyev, A.: Supervized Mixture of PLDA Models for Cross-Channel Speaker Verification. In: 13th Annual Conference of the International Speech Communication Association, Interspeech 2012, Portland, Oregon, September 9-13 (2012)

    Google Scholar 

  5. The NIST Year 2012 Speaker Recognition Evaluation Plan (2012),

  6. Villalba, J., Lleida, E.: Speaker verification performance degradation against spoofing and tampering attacks. In: FALA 2010 Workshop, pp. 131–134 (2010)

    Google Scholar 

  7. Aleinik, S., Matveev, Y., Raev, A.: Method of evaluation of speech signal clipping level. Scientific and Technical Journal of Information Technologies, Mechanics and Optics 79(3), 79–83 (2012) (Rus.)

    Google Scholar 

  8. Pelecanos, J., Sridharan, S.: Feature warping for robust speaker verification. In: Proc. Speaker Odyssey, the Speaker Recognition Workshop, Crete, Greece (2001)

    Google Scholar 

  9. Matveev, Y.N., Simonchik, K.K.: The speaker identification system for the NIST SRE 2010. In: The 20th International Conference on Computer Graphics and Vision, GraphiCon 2010, Conference Proceedings, St. Petersburg, Russia, September 20-24 (2010)

    Google Scholar 

  10. Kozlov, A.V., Kudashev, O.Y., Matveev, Y.N., Pekhovsky, T.S., Simonchik, K.K., Shulipa, A.K.: Speaker recognition system for the NIST SRE 2012. In: SPIIRAS Proceedings, vol. 25(2), pp. 350–370 (March 2013)

    Google Scholar 

  11. Chistikov, P.G., Korolkov, E.A.: Data-driven Speech Parameter Generation for Russian Text-to-Speech System. Computational Linguistics and Intellectual Technologies. Papers from the Annual International Conference “Dialogue”, 1 of 2(11(18)), 103–111 (2012)

    Google Scholar 

  12. Chistikov, P.G., Korolkov, E.A., Talanov, A.O.: Combining HMM and unit selection tech nologies to increase naturalness of synthesized speech. In: Dialog 2013 (2013)

    Google Scholar 

  13. Campbell, J., Higgins, A.: “YOHO Speaker Verification database”,

  14. Wu, Z., Chng, E.S., Li, H.: Speaker verification system against two different voice conversion techniques in spoofing attacks, Technical report,

  15. Kinnunen, T., Wu, Z.-Z., Lee, K.A., Sedlak, F., Chng, E.S., Li, H.: Vulnerability of Speaker Verification Systems Against Voice Conversion Spoofing Attacks: the Case of Telephone Speech. In: Proc. ICASSP 2012, Kyoto, Japan, pp. 4401–4404 (March 2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations


Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer International Publishing Switzerland

About this paper

Cite this paper

Shchemelinin, V., Simonchik, K. (2013). Examining Vulnerability of Voice Verification Systems to Spoofing Attacks by Means of a TTS System. In: Železný, M., Habernal, I., Ronzhin, A. (eds) Speech and Computer. SPECOM 2013. Lecture Notes in Computer Science(), vol 8113. Springer, Cham.

Download citation

  • DOI:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01930-7

  • Online ISBN: 978-3-319-01931-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics