Control Systems and Computers, N6, 2019, Article 5
https://doi.org/10.15407/csc.2019.06.046
Control Systems and Computers, 2019, Issue 6 (284), pp. 46-57.
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, E-mail: sazhok@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,
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,
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,
Robeiko V.V., Research fellow, Taras Shevchenko National University of Kyiv, Glushkov ave., 4g, 03022, Kyiv, Ukraine
Automatic Speech Recognition for Ukrainian Broadcast Media Transcribing
A speech-to-text conversion scheme was implemented that made it possible to obtain the result of the recognition of phonograms of broadcasting in a convenient form both for a novice user and for further automatic processing. In particular, according to the text received, it’s clear what is being discussed, factual material is being tracked (names, numbers, dates, etc.), punctuation marks facilitate the perception of the text, and overall the cost of manual editing to get the final transcript is reduced.
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Keywords: speech, speech signal, analysis, recognition, understanding, synthesis.
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Received 26.11.19