| DC Field | Value | Language |
|---|
| dc.contributor.author | Biktimirov, A. R. | - |
| dc.contributor.author | Gruzdev, D. Y. | - |
| dc.date.accessioned | 2024-04-23T11:55:48Z | - |
| dc.date.available | 2024-04-23T11:55:48Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.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. | ru |
| dc.identifier.uri | http://dspace.bsu.edu.ru/handle/123456789/62426 | - |
| dc.description.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 | ru |
| dc.language.iso | en | ru |
| dc.subject | linguistics | ru |
| dc.subject | applied linguistics | ru |
| dc.subject | transcribing | ru |
| dc.subject | voice recognition | ru |
| dc.subject | STT software | ru |
| dc.subject | dictation efficiency | ru |
| dc.subject | voice properties | ru |
| dc.title | Boosting Speech-to-Text software potential | ru |
| dc.type | Article | ru |
| Appears in Collections: | Т. 8, вып. 4
|
