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Voice Passphrase Variability Evaluation for Speaker Recognition

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Computational Forensics (IWCF 2012, IWCF 2014)

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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Correspondence to Sergei Aleinik .

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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

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  • 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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