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Speech Recognition Technologies Based on Artificial Intelligence Algorithms

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Intelligent Human Computer Interaction (IHCI 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13741))

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Abstract

In this article, research was conducted on the development of automatic Uzbek speech recognition technology based on integral models. Methods of continuous speech recognition technology in Uzbek were studied at all stages and suitable ones were selected. A 200-hour speech corpus was trained on the DNN-CTC architecture for acoustic modeling. The accuracy of the developed speech recognition system achieved WER = 17.3%, CER = 7.5% on the test data set.

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Authors and Affiliations

  1. Artificial Intelligence, Tashkent University of Information Technology named after Muhammad Al-Khwarizmi, Tashkent, Uzbekistan

    Muhammadjon Musaev & Mannon Ochilov

  2. Information Technologies, Samarkand branch of Tashkent University of Information Technology named after Muhammad Al-Khwarizmi, Tashkent, Uzbekistan

    Ilyos Khujayarov

Authors
  1. Muhammadjon Musaev
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  2. Ilyos Khujayarov
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  3. Mannon Ochilov
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Corresponding author

Correspondence to Mannon Ochilov .

Editor information

Editors and Affiliations

  1. Tashkent University Information Technologies, Tashkent, Uzbekistan

    Hakimjon Zaynidinov

  2. Oregon Institute of Technology, Klamath Falls, USA

    Madhusudan Singh

  3. Indian Institute of Information Technology, Allahabad, India

    Uma Shanker Tiwary

  4. Hankuk University of Foreign Studies, Yongin, Korea (Republic of)

    Dhananjay Singh

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Musaev, M., Khujayarov, I., Ochilov, M. (2023). Speech Recognition Technologies Based on Artificial Intelligence Algorithms. In: Zaynidinov, H., Singh, M., Tiwary, U.S., Singh, D. (eds) Intelligent Human Computer Interaction. IHCI 2022. Lecture Notes in Computer Science, vol 13741. Springer, Cham. https://doi.org/10.1007/978-3-031-27199-1_6

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  • DOI: https://doi.org/10.1007/978-3-031-27199-1_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-27198-4

  • Online ISBN: 978-3-031-27199-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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