Voice Passphrase Variability Evaluation for Speaker Recognition

  • Vladislav Sukhmel
  • Sergei Aleinik
  • Vadim Shchemelinin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8915)


We propose a method of voice passphrase variability calculation. To calculate the variability, we transform an acoustic passphrase into a sequence of formants, then into a multi-dimensional histogram. We then compute a value which characterizes the entropy of the sequence. We provide a computer simulation and conclude that using this variability for passphrase creation (e.g. during the enrollment process) helps to significantly increase the performance of speaker verification and speaker identification systems.


Passphrase Speaker recognition Speech processing Preprocessing 


  1. 1.
    Cohen, A., Zigel, Y.: On feature selection for speaker verification. In: Proceedings of COST 275 Workshop on The Advent of Biometrics on the Internet, pp. 89–92 (2002)Google Scholar
  2. 2.
    Jain, A.K., Flynn, P., Ross, A.: Handbook of Biometrics Springer. Springer, Heidelberg (2007)Google Scholar
  3. 3.
    Larcher, A., Bousquet, P., Lee, K., Matrouf, D., Li, H., Bonastre, J.F.: I-vectors in the context of phonetically-constrained short utterances for speaker verification. In: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP-2012, pp. 4773−4776 (2012)Google Scholar
  4. 4.
    Larcher, A., Bonastre, J.F., Mason, J.S.D.: Reinforced temporal structure information for embedded utterance-based speaker recognition. In Proceedings of INTERSPEECH-2008, pp. 371−374 (2008)Google Scholar
  5. 5.
    Gupta, H., Hautamäki, V., Kinnunen, T., Fränti, P.: Field Evaluation of Text-Dependent Speaker Recognition in an Access Control Application. Speech and Image Processing Unit. Department of Computer Science, University of Joensuu, Finland (2005) Google Scholar
  6. 6.
    Brookes, M.: Speech Processing. 20 lectures in the Spring Term.
  7. 7.
    Keller, E.: Fundamentals of Speech Synthesis and Speech Recognition: Basic Concepts, State of the Art, and Future Challenges. Wiley, Hoboken (1994)Google Scholar
  8. 8.
    Holmes, J.N., Holmes, W.J.: Speech Synthesis and Recognition, 2nd edn. Taylor and Francis, London (2001)Google Scholar
  9. 9.
    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)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Vladislav Sukhmel
    • 1
  • Sergei Aleinik
    • 2
    • 3
  • Vadim Shchemelinin
    • 3
  1. 1.St. Petersburg State UniversitySt. PetersburgRussia
  2. 2.Speech Technology CenterSt. PetersburgRussia
  3. 3.ITMO UniversitySt. PetersburgRussia

Personalised recommendations