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Speaker Authentication System Based on Voice Biometrics and Speech Recognition

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Business Information Systems Workshops (BIS 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 263))

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Abstract

In this paper we are analyzing possibility to authenticate speaker by using user voice biometrics and speech recognition. Process of authentication is simple: user says his personal ID number, then system makes prediction of users’ identity and compares it to claimed ID. If these two parameters are equal system makes a positive decision. Using proposed algorithms we managed to achieve 70.45% accuracy for system, with identification module accuracy of 100% and recognition module accuracy of 70.45%.

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Notes

  1. 1.

    http://htk.eng.cam.ac.uk/.

  2. 2.

    https://github.com/liepa-project.

  3. 3.

    https://sourceforge.net/projects/cmusphinx/files/Acoustic%20and%20Language%20Models/German%20Voxforge/.

  4. 4.

    https://sourceforge.net/projects/cmusphinx/files/Acoustic%20and%20Language%20Models/US%20English%20Generic%20Acoustic%20Model/.

  5. 5.

    https://sourceforge.net/projects/cmusphinx/files/Acoustic%20and%20Language%20Models/French/.

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Author information

Authors and Affiliations

  1. Kaunas Faculty of Humanities, Vilnius University, Muitinės str. 8, Kaunas, Lithuania

    Laurynas Dovydaitis, Tomas Rasymas & Vytautas Rudžionis

Authors
  1. Laurynas Dovydaitis
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  2. Tomas Rasymas
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  3. Vytautas Rudžionis
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Corresponding authors

Correspondence to Laurynas Dovydaitis , Tomas Rasymas or Vytautas Rudžionis .

Editor information

Editors and Affiliations

  1. Poznań University of Economics and Business, Poznan, Poland

    Witold Abramowicz

  2. Leipzig University, Leipzig, Germany

    Rainer Alt

  3. Leipzig University, Leipzig, Germany

    Bogdan Franczyk

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Dovydaitis, L., Rasymas, T., Rudžionis, V. (2017). Speaker Authentication System Based on Voice Biometrics and Speech Recognition. In: Abramowicz, W., Alt, R., Franczyk, B. (eds) Business Information Systems Workshops. BIS 2016. Lecture Notes in Business Information Processing, vol 263. Springer, Cham. https://doi.org/10.1007/978-3-319-52464-1_8

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