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International Workshop on Computational Forensics

International Workshop on Computational Forensics

IWCF 2012, IWCF 2014: Computational Forensics pp 3–9Cite as

Voice Passphrase Variability Evaluation for Speaker Recognition

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8915))

Abstract

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.

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Author information

Authors and Affiliations

  1. St. Petersburg State University, St. Petersburg, 198504, Russia

    Vladislav Sukhmel

  2. Speech Technology Center, Krasutskogo-4, St. Petersburg, 196084, Russia

    Sergei Aleinik

  3. ITMO University, St. Petersburg, 196084, Russia

    Sergei Aleinik & Vadim Shchemelinin

Authors
  1. Vladislav Sukhmel
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  2. Sergei Aleinik
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  3. Vadim Shchemelinin
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Corresponding author

Correspondence to Sergei Aleinik .

Editor information

Editors and Affiliations

  1. Indian Statistical Institute, Kolkata, India

    Utpal Garain

  2. School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad, Pakistan

    Faisal Shafait

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© 2015 Springer International Publishing Switzerland

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Cite this paper

Sukhmel, V., Aleinik, S., Shchemelinin, V. (2015). Voice Passphrase Variability Evaluation for Speaker Recognition. In: Garain, U., Shafait, F. (eds) Computational Forensics. IWCF IWCF 2012 2014. Lecture Notes in Computer Science(), vol 8915. Springer, Cham. https://doi.org/10.1007/978-3-319-20125-2_1

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  • DOI: https://doi.org/10.1007/978-3-319-20125-2_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20124-5

  • Online ISBN: 978-3-319-20125-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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