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Please use this identifier to cite or link to this item: http://dspace.bsu.edu.ru/handle/123456789/62426
Title: Boosting Speech-to-Text software potential
Authors: Biktimirov, A. R.
Gruzdev, D. Y.
Keywords: linguistics
applied linguistics
transcribing
voice recognition
STT software
dictation efficiency
voice properties
Issue Date: 2022
Citation: Biktimirov, A.R. Boosting Speech-to-Text software potential / A.R. Biktimirov, D.Y. Gruzdev // Научный результат. Сер. Вопросы теоретической и прикладной лингвистики. - 2022. - Т.8, №4.-С. 72-89.
Abstract: The article focuses on finding ways of boosting efficiency and accuracy of Speech-to-Text (STT)-powered input. The effort is triggered by the growing popularity of the software among professional translators, which is in line with the general trend of abandoning typing in favor of speech-to-text applications
URI: http://dspace.bsu.edu.ru/handle/123456789/62426
Appears in Collections:Т. 8, вып. 4

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