Search Results for author: Byron Reeve

Found 3 papers, 0 papers with code

Automatic Tuberculosis and COVID-19 cough classification using deep learning

no code implementations11 May 2022 Madhurananda Pahar, Marisa Klopper, Byron Reeve, Rob Warren, Grant Theron, Andreas Diacon, Thomas Niesler

This cough data include 1. 68 hours of TB coughs, 18. 54 minutes of COVID-19 coughs and 1. 69 hours of healthy coughs from 47 TB patients, 229 COVID-19 patients and 1498 healthy patients and were used to train and evaluate a CNN, LSTM and Resnet50.

Audio Classification Transfer Learning

Wake-Cough: cough spotting and cougher identification for personalised long-term cough monitoring

no code implementations7 Oct 2021 Madhurananda Pahar, Marisa Klopper, Byron Reeve, Rob Warren, Grant Theron, Andreas Diacon, Thomas Niesler

We present `wake-cough', an application of wake-word spotting to coughs using a Resnet50 and the identification of coughers using i-vectors, for the purpose of a long-term, personalised cough monitoring system.

Automatic Cough Classification for Tuberculosis Screening in a Real-World Environment

no code implementations23 Mar 2021 Madhurananda Pahar, Marisa Klopper, Byron Reeve, Grant Theron, Rob Warren, Thomas Niesler

Objective: The automatic discrimination between the coughing sounds produced by patients with tuberculosis (TB) and those produced by patients with other lung ailments.

feature selection General Classification +1

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