299 citations · 515 across the 5 of their papers we have counts for
5 papers
Automatic Tuberculosis and COVID-19 cough classification using deep learning
Madhurananda Pahar, Marisa Klopper, Byron Reeve +4
We present a deep learning based automatic cough classifier which can discriminate tuberculosis (TB) coughs from COVID-19 coughs and healthy coughs. Both TB and COVID-19 are respir…
Wake-Cough: cough spotting and cougher identification for personalised long-term cough monitoring
Madhurananda Pahar, Marisa Klopper, Byron Reeve +4
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, persona…
COVID-19 Detection in Cough, Breath and Speech using Deep Transfer Learning and Bottleneck Features
Madhurananda Pahar, Marisa Klopper, Robin Warren +1
We present an experimental investigation into the effectiveness of transfer learning and bottleneck feature extraction in detecting COVID-19 from audio recordings of cough, breath…
Automatic Cough Classification for Tuberculosis Screening in a Real-World Environment
Madhurananda Pahar, Marisa Klopper, Byron Reeve +3
Objective: The automatic discrimination between the coughing sounds produced by patients with tuberculosis (TB) and those produced by patients with other lung ailments. Approach: W…
COVID-19 Cough Classification using Machine Learning and Global Smartphone Recordings
Madhurananda Pahar, Marisa Klopper, Robin Warren +1
We present a machine learning based COVID-19 cough classifier which can discriminate COVID-19 positive coughs from both COVID-19 negative and healthy coughs recorded on a smartphon…