https://libeldoc.bsuir.by/handle/123456789/48851| Title: | Proposed system architecture for cough detection |
| Authors: | Vishniakou, U. A. Shaya, B. H. |
| Keywords: | публикации ученых;classifications;detect cough;neuron network |
| Issue Date: | 2022 |
| Publisher: | Белорусская государственная академия связи |
| 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. |
| 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. |
| URI: | https://libeldoc.bsuir.by/handle/123456789/48851 |
| Appears in Collections: | Публикации в изданиях Республики Беларусь |
| File | Description | Size | Format | |
|---|---|---|---|---|
| Vishniakou_Proposed.pdf | 96.28 kB | Adobe PDF | View/Open |
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