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Normalization of Non-standard Words with Finite State Transducers for Russian Speech Synthesis

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  • First Online:
Analysis of Images, Social Networks and Texts (AIST 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 542))

Abstract

This paper describes finite state transducers employed for expansion of numbers, acronyms and graphic abbreviations into full-word numerals and phrases in the task of Russian speech synthesis. The developed finite state transducers cover cardinal and ordinal numbers, convert phone numbers, dates, codes, etc. The developed project is the first Russian open-source normalization system known to the author.

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Notes

  1. 1.

    https://github.com/avlukanin/normatex

  2. 2.

    http://susu.ac.ru

  3. 3.

    http://ruscorpora.ru

  4. 4.

    http://cards.voicefabric.ru/

  5. 5.

    https://translate.google.ru/

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Author information

Authors and Affiliations

  1. South Ural State University, Chelyabinsk, Russia

    Artem Lukanin

Authors
  1. Artem Lukanin
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Corresponding author

Correspondence to Artem Lukanin .

Editor information

Editors and Affiliations

  1. Krasovsky Institute of Mathematics and Mechanics, Yekaterinburg, Russia

    Mikhail Yu. Khachay

  2. Wolverhampton, United Kingdom

    Natalia Konstantinova

  3. Technische Universität Darmstadt, Darmstadt, Germany

    Alexander Panchenko

  4. National Research University Higher School of Economics, Moscow, Russia

    Dmitry Ignatov

  5. Ural Federal University, Yekaterinbug, Russia

    Valeri G. Labunets

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Lukanin, A. (2015). Normalization of Non-standard Words with Finite State Transducers for Russian Speech Synthesis. In: Khachay, M., Konstantinova, N., Panchenko, A., Ignatov, D., Labunets, V. (eds) Analysis of Images, Social Networks and Texts. AIST 2015. Communications in Computer and Information Science, vol 542. Springer, Cham. https://doi.org/10.1007/978-3-319-26123-2_4

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  • DOI: https://doi.org/10.1007/978-3-319-26123-2_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26122-5

  • Online ISBN: 978-3-319-26123-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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