Skip navigation
Please use this identifier to cite or link to this item: 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

Files in This Item:
File Description SizeFormat 
Vishniakou_Proposed.pdf96.28 kBAdobe PDFView/Open
Show full item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.