| DC Field | Value | Language |
|---|
| dc.contributor.author | Tsvirko, A. I. | - |
| dc.date.accessioned | 2019-09-18T07:56:18Z | - |
| dc.date.available | 2019-09-18T07:56:18Z | - |
| dc.date.issued | 2019 | - |
| dc.identifier.citation | Tsvirko, A. I. Speech recognition using machine learning / A. I. Tsvirko // Проблемы экономики и информационных технологий: сборник тезисов докладов 55-й юбилейной научной конференции аспирантов, магистрантов и студентов, Минск, 22 – 26 апреля 2019 г. / Белорусский государственный университет информатики и радиоэлектроники. – Минск, 2019. – С. 189 – 190. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/36317 | - |
| dc.description.abstract | At the moment recognition of a person's emotional state is an actual topic and can be applied in many sectors such as medicine,
psychology, marketing, security. Analysis of the speech signal and the image of the person performing the responsible activity (astronaut, pilot, operator of the nuclear power plant, air traffic controller, etc.) is used to exclude the possibility of error. Moreover, the
approaches developed here can be applied in different areas, for example, alcohol intoxication, fatigue, depression, etc. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | Neural Networks | ru_RU |
| dc.subject | using machine learning | ru_RU |
| dc.title | Speech recognition using machine learning | ru_RU |
| dc.type | Статья | ru_RU |
| Appears in Collections: | Проблемы экономики и информационных технологий : материалы 55-й юбилейной научной конференции аспирантов, магистрантов и студентов (2019)
|
