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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/48851
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dc.contributor.authorVishniakou, U. A.-
dc.contributor.authorShaya, B. H.-
dc.coverage.spatialМинск-
dc.date.accessioned2022-11-02T11:18:24Z-
dc.date.available2022-11-02T11:18:24Z-
dc.date.issued2022-
dc.identifier.citationVishniakou, 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.urihttps://libeldoc.bsuir.by/handle/123456789/48851-
dc.description.abstractIn 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.isoenru_RU
dc.publisherБелорусская государственная академия связиru_RU
dc.subjectпубликации ученыхru_RU
dc.subjectclassificationsru_RU
dc.subjectdetect coughru_RU
dc.subjectneuron networkru_RU
dc.titleProposed system architecture for cough detectionru_RU
dc.typeArticleru_RU
Appears in Collections:Публикации в изданиях Республики Беларусь

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