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Asian Conference on Intelligent Information and Database Systems

ACIIDS 2019: Intelligent Information and Database Systems pp 465–474Cite as

Automatic Recognition of Kazakh Speech Using Deep Neural Networks

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11432))

Abstract

This article presents a deep neural network (DNN) system based on automatic speech recognition for Kazakh language, developed using the Kaldi speech recognition tool. DNNs are initialized using the restricted Boltzmann machines (RBM) and are trained using cross-entropy as the objective function and the standard back propagation of error. In order to achieve optimal results, the training has been modified based on peculiarities of Kazakh language. A 76 hours-corpus has been used in training. Results are compared for two different sets of values between classical models and various DNN settings.

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References

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Acknowledgements

This work was supported by the Ministry of Education and Science of the Republic of Kazakhstan. IRN AP05131207 Development of technologies for multilingual automatic speech recognition using deep neural networks.

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Authors and Affiliations

  1. Institute of Information and Computational Technology, 050010, Almaty, Kazakhstan

    Orken Mamyrbayev, Mussa Turdalyuly, Keylan Alimhan & Tolganay Turdalykyzy

  2. al-Farabi Kazakh National University, 050040, Almaty, Kazakhstan

    Nurbapa Mekebayev & Aizat Kydyrbekova

Authors
  1. Orken Mamyrbayev
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  2. Mussa Turdalyuly
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  3. Nurbapa Mekebayev
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  4. Keylan Alimhan
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  5. Aizat Kydyrbekova
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  6. Tolganay Turdalykyzy
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Corresponding authors

Correspondence to Orken Mamyrbayev or Mussa Turdalyuly .

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Editors and Affiliations

  1. Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Ngoc Thanh Nguyen

  2. Bina Nusantara University, Jakarta, Indonesia

    Ford Lumban Gaol

  3. National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

  4. Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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Mamyrbayev, O., Turdalyuly, M., Mekebayev, N., Alimhan, K., Kydyrbekova, A., Turdalykyzy, T. (2019). Automatic Recognition of Kazakh Speech Using Deep Neural Networks. In: Nguyen, N., Gaol, F., Hong, TP., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2019. Lecture Notes in Computer Science(), vol 11432. Springer, Cham. https://doi.org/10.1007/978-3-030-14802-7_40

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  • DOI: https://doi.org/10.1007/978-3-030-14802-7_40

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-14801-0

  • Online ISBN: 978-3-030-14802-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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