DC Field | Value | Language |
dc.contributor.author | Vishniakou, U. A. | - |
dc.contributor.author | Shaya, B. H. | - |
dc.coverage.spatial | Минск | - |
dc.date.accessioned | 2022-11-02T11:18:24Z | - |
dc.date.available | 2022-11-02T11:18:24Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Vishniakou, U. A. Proposed system architecture for cough detection / Vishniakou U. A., Shaya B. H. // Современные средства связи : материалы XXVII Международной научно-технической конференции, Минск, 27-28 окт. 2022 г. / Белорусская государственная академия связи ; редкол.: А. О. Зеневич [и др.]. – Минск, 2022. – С. 29. | ru_RU |
dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/48851 | - |
dc.description.abstract | In report propose system making classifications and detect cough sounds. It realizes four main stages after selecting the sound classification data: extracting the features from audio files, model generation, training neuron network and testing on volunteers. | ru_RU |
dc.language.iso | en | ru_RU |
dc.publisher | Белорусская государственная академия связи | ru_RU |
dc.subject | публикации ученых | ru_RU |
dc.subject | classifications | ru_RU |
dc.subject | detect cough | ru_RU |
dc.subject | neuron network | ru_RU |
dc.title | Proposed system architecture for cough detection | ru_RU |
dc.type | Article | ru_RU |
Appears in Collections: | Публикации в изданиях Республики Беларусь
|