Advertisement

Phase Angles of Sound as a Biometric Feature

  • Andrzej W. Mitas
  • Marcin D. Bugdol
  • Witold Konior
  • Artur Ryguła
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7339)

Abstract

The paper is a proposal of concept of highlighting the sound sources based on the phase shifts of successive harmonics in a single function course extracted from a articulation of single sound which frequency is stable in short-term. The function describing the single period of sound is expanded for the purpose of determining the harmonic series from − ∞ to + ∞. It is also an additional protection of sensitive personal data, because, based on such generated sound it is impossible to unambiguously recognize the voice of the individual using the human senses.

Keywords

Fourier transform biometrics speaker recognition 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Bugdol, M.: Method of multimodal cryptography strengthening under the aspect of behavioral biometrics. Ph.D. thesis, Politechnika Śląska, Wydział Automatyki, Elektroniki i Informatyki (2011)Google Scholar
  2. 2.
    Campbell, J.: Speaker recognition: a tutorial. Proceedings of the IEEE 85(9), 1437–1462 (1997)CrossRefGoogle Scholar
  3. 3.
    Cole, R.A., Mariani, J., Uszkoreit, H., Zaenen, A., Zue, V.: Survey of the State of the Art in Human Language Technology (Studies in Natural Language Processing). Cambridge University Press (March 1997), http://www.worldcat.org/isbn/0521592771
  4. 4.
    Dustor, A., Szwarc, P.: Application of gmm models to spoken language recognition. In: Proceedings of the 16th International Conference Mixed Design of Integrated Circuits and Systems, MIXDES, pp. 603–606 (2009)Google Scholar
  5. 5.
    Dustor, A., Szwarc, P.: Spoken language identification based on GMM models. In: Proceedings of the 7th IEEE International Conference on Signals and Electronic Systems, ICSES, pp. 105–108 (2010)Google Scholar
  6. 6.
    Furui, S.: Speaker recognition. Scholarpedia 3(4), 3715 (2008)CrossRefGoogle Scholar
  7. 7.
    Kozak, M., Kale, I.: Oversampled Delta-Sigma Modulators. Kluwer Academic Publishers, Dordrecht (2003), http://www.worldcat.org/isbn/0521592771 Google Scholar
  8. 8.
    Krzysko, M.: Analiza Dyskryminacyjna. WNT, Warszawa (1990)Google Scholar
  9. 9.
    Mitas, A.W., Bugdol, M.D.: Biometric aspect of the voice timbre. Biometry – Special Issue, 93–102 (2010)Google Scholar
  10. 10.
    Mitas, A.W., Bugdol, M.D.: An Idea of Human Voice Reaction Measurement System under the Aspect of Behavioral Biometric. In: Piętka, E., Kawa, J. (eds.) Information Technologies in Biomedicine. AISC, vol. 69, pp. 219–228. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  11. 11.
    Tadeusiewicz, R.: Sygnał mowy. Wydawnictwo Komunikacji i Łączności, Warszawa (1988)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Andrzej W. Mitas
    • 1
  • Marcin D. Bugdol
    • 1
  • Witold Konior
    • 1
  • Artur Ryguła
    • 2
  1. 1.Faculty of Biomedical EngineeringSilesian University of TechnologyGliwicePoland
  2. 2.APM Konior Piwowarczyk Konior Sp. z o.o.Bielsko-BiałaPoland

Personalised recommendations