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International Conference on Text, Speech, and Dialogue

TSD 2017: Text, Speech, and Dialogue pp 183–191Cite as

Recent Results in Speech Recognition for the Tatar Language

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10415))

Abstract

This paper presents a comparative study of several different systems for speech recognition for the Tatar language, including systems for very large and unlimited vocabularies. All the compared systems use a corpus based approach, so recent results in speech and text corpora creation are also shown. The recognition systems differ in acoustic modelling algorithms, basic acoustic units, and language modelling techniques. The DNN based system with the sub-word based language model shows the best recognition result obtained on the test part of speech corpus.

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Authors and Affiliations

  1. Institute of Applied Semiotics of the Tatarstan Academy of Sciences, Kazan Federal University, Kazan, Russia

    Aidar Khusainov

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  1. Aidar Khusainov
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Correspondence to Aidar Khusainov .

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Editors and Affiliations

  1. University of West Bohemia, Pilsen, Czech Republic

    Kamil Ekštein

  2. University of West Bohemia, Pilsen, Czech Republic

    Václav Matoušek

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Khusainov, A. (2017). Recent Results in Speech Recognition for the Tatar Language. In: Ekštein, K., Matoušek, V. (eds) Text, Speech, and Dialogue. TSD 2017. Lecture Notes in Computer Science(), vol 10415. Springer, Cham. https://doi.org/10.1007/978-3-319-64206-2_21

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  • DOI: https://doi.org/10.1007/978-3-319-64206-2_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64205-5

  • Online ISBN: 978-3-319-64206-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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