Control Systems and Computers, N6, 2018, Article 1

Upr. sist. maš., 2018, Issue 6 (278), pp. 7-24.

UDC 004.934

Vintsuk T.K., Doctor (Eng.), Prof., head of Department, pioneer in speech technology and systemsInternational Research and Training Center for Information Technologies and Systems of the NAS of Ukraine and MES of Ukraine, Glushkov ave, 40, Kyiv, 03187, Ukraine,

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, E-mail:,

Selukh 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,

Fedorin 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,

Yukhimenko 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,

Robeyko V.V., Research fellow, Taras Shevchenko National University of Kyiv, Glushkov ave., 4g, 03022, Kyiv, Ukraine

Automatic recognition, understanding and synthesis of speech signals in Ukraine

Introduction. Speech is the most convenient, habitual, accessible and fast mean of communication between people and, therefore, is the most suitable for communication between human beings and machines. This makes topical the capability to develop automatic speech recognition and synthesis systems for the national science, technology and culture.

Purpose. The purpose is to analyze the state and outline the main ways of solving the problems of automatic recognition, understanding and synthesis for Ukrainian speech and spoken translation from Ukrainian Sign Language to Ukrainian language.

Methods. Modeling the spoken intellectual human activity using the analysis-by-synthesis approach accomplished with the experimental research and approbation in real application conditions.

Results. Methods and algorithms proposed and adapted to the specific hardware/software platforms allow the speech information systems developing meeting the growing expectations of potential users. The described contemporary spoken information systems demonstrate more generalization and less sensitivity to speaker and domain during analysis and high naturalness of synthesized speech signal. Due to these achievements, the processes of spoken information input and retrieval can be partially or fully automated, particularly, for Ukrainian.

Conclusion. For decades, methods and algorithms based on Generative Model are shown their productivity for speech technologies and systems that makes them widely applicable nowadays. The internationally recognized Ukrainian research school benefits from its history and traditions, demonstrates steady development and readiness to solve prospective problems related to multilingual, multimodal and acoustically adverse environments.

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Keywords: speech, speech signal, analysis, recognition, understanding, synthesis.

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Received 05.12.18