299 citations · 646 across the 28 of their papers we have counts for
4 papers · 1 filter
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…
Accelerometer-based Bed Occupancy Detection for Automatic, Non-invasive Long-term Cough Monitoring
Madhurananda Pahar, Igor Miranda, Andreas Diacon +1
We present a new machine learning based bed-occupancy detection system that uses the accelerometer signal captured by a bed-attached consumer smartphone. Automatic bed-occupancy de…
Deep Neural Network based Cough Detection using Bed-mounted Accelerometer Measurements
Madhurananda Pahar, Igor Miranda, Andreas Diacon +1
We have performed cough detection based on measurements from an accelerometer attached to the patient's bed. This form of monitoring is less intrusive than body-attached accelerome…
Cluster Size Management in Multi-Stage Agglomerative Hierarchical Clustering of Acoustic Speech Segments
Lerato Lerato, Thomas Niesler
Agglomerative hierarchical clustering (AHC) requires only the similarity between objects to be known. This is attractive when clustering signals of varying length, such as speech,…