Control Systems and Computers

https://doi.org/10.15407/csc.2023.04.019

Control Systems and Computers, 2023, Issue 4 (304), pp. 19-28

UDK 004.934

Sazhok M.M., Ph.D. (Eng.), head of the department, International Research and Training Center for Information Technologies and Systems of the NAS of Ukraine and MES of Ukraine, Glushkov ave, 40, Kyiv, 03187, Ukraine, ORCID: https://orcid.org/0000-0003-1169-6851, E-mail: sazhok@gmail.com,

Robeiko V.V., Research fellow, Taras Shevchenko National University of Kyiv, Glushkov ave., 4g, 03022, Kyiv, Ukraine, ORCID: https://orcid.org/0000-0003-2266-7650, E-mail: valia.robeiko@gmail.com,

Smoliakov Ye.A., nternational Research and Training Center for Information Technologies and Systems of the NAS of Ukraine and MES of Ukraine, Glushkov ave, 40, Kyiv, 03187, Ukraine, ORCID: https://orcid.org/0000-0002-8272-2095, E-mail: egorsmkv@gmail.com,

 Zabolotko T.O., International Research and Training Center for Information Technologies and Systems of the NAS of Ukraine and MES of Ukraine, Glushkov ave, 40, Kyiv, 03187, Ukraine, ORCID: https://orcid.org/0009-0002-1575-3091, E-mail: wariushas@gmail.com,

Seliukh R.A., Research Associate, International Research and Training Center for Information Technologies and Systems of the NAS of Ukraine and MES of Ukraine, Glushkov ave, 40, Kyiv, 03187, Ukraine, ORCID: https://orcid.org/0000-0003-2230-8746, E-mail: vxml12@gmail.com,

Fedoryn D.Ya., Research Associate, International Research and Training Center for Information Technologies and Systems of the NAS of Ukraine and MES of Ukraine, Glushkov ave, 40, Kyiv, 03187, Ukraine, ORCID: https://orcid.org/0000-0002-4924-225X, E-mail: enomaj@gmail.com,

Yukhymenko O.A., Research fellow, International Research and Training Center for Information Technologies and Systems of the NAS of Ukraine and MES of Ukraine, Glushkov ave, 40, Kyiv, 03187, Ukraine, ORCID: https://orcid.org/0000-0001-5868-8547, E-mail: enomaj@gmail.com

Modeling Domain Openness in Speech Information Technologies

The paper addresses the problem of the need to use automatic speech signal transcription systems for various subject areas, including a variety of acoustic conditions, individual characteristics and content contexts, and taking into account elements of multilingualism. The described approaches to modeling wide classes of noise and interference and removing restrictions from vocabulary made it possible to increase the performance of the developed speech information technologies and systems to the openness of the subject area.

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Keywords: speech, speech signal, analysis, recognition, automatic speech signal transcription systems, speech information technologies.

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Received 09.11.2023