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Speaker Verification Using Spectral and Durational Segmental Characteristics

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Speech and Computer (SPECOM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9319))

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Abstract

In the present paper we report on some of the results obtained by fusion of human assisted speaker verification methods based on formant features and statistics of phone durations. Our experiments on the database of spontaneous speech demonstrate that using segmental durational characteristics leads to better performance, which shows the applicability of these features for the speaker verification task.

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Notes

  1. 1.

    Superscript t is omitted for the sake of presentation clarity.

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Acknowledgments

This work was financially supported by the Government of the Russian Federation, Grant 074-U01.

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Authors and Affiliations

  1. ITMO University, St. Petersburg, Russia

    Elena Bulgakova, Aleksei Sholohov, Natalia Tomashenko & Yuri Matveev

  2. Speech Technology Center, St. Petersburg, Russia

    Natalia Tomashenko & Yuri Matveev

Authors
  1. Elena Bulgakova
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  2. Aleksei Sholohov
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  3. Natalia Tomashenko
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  4. Yuri Matveev
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Corresponding author

Correspondence to Natalia Tomashenko .

Editor information

Editors and Affiliations

  1. SPIIRAS, Saint-Petersburg, Russia

    Andrey Ronzhin

  2. Moscow State Linguistic University, Moscow, Russia

    Rodmonga Potapova

  3. University of Patras, Patras, Greece

    Nikos Fakotakis

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Bulgakova, E., Sholohov, A., Tomashenko, N., Matveev, Y. (2015). Speaker Verification Using Spectral and Durational Segmental Characteristics. In: Ronzhin, A., Potapova, R., Fakotakis, N. (eds) Speech and Computer. SPECOM 2015. Lecture Notes in Computer Science(), vol 9319. Springer, Cham. https://doi.org/10.1007/978-3-319-23132-7_49

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  • DOI: https://doi.org/10.1007/978-3-319-23132-7_49

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23131-0

  • Online ISBN: 978-3-319-23132-7

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