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20182026
most citedCOVID-19 Cough Classification using Machine Learning and Global Smartphone Recordings

299 citations · 646 across the 28 of their papers we have counts for

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7 papers · 1 filter

cs.SD2021

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…

cs.SD2021★ 31 cited

Automatic non-invasive Cough Detection based on Accelerometer and Audio Signals

Madhurananda Pahar, Igor Miranda, Andreas Diacon +1

We present an automatic non-invasive way of detecting cough events based on both accelerometer and audio signals. The acceleration signals are captured by a smartphone firmly attac…

cs.SD2021★ 106 cited

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…

cs.SD2021★ 83 cited

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…

cs.SD2020★ 299 cited

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…

cs.SD2018★ 1 cited

Direction of Arrival Estimation of Wide-band Signals with Planar Microphone Arrays

Rudolf Byker, Thomas Niesler

An approach to the estimation of the Direction of Arrival (DOA) of wide-band signals with a planar microphone array is presented. Our algorithm estimates an unambiguous DOA using a…

cs.SD2018

Feature Trajectory Dynamic Time Warping for Clustering of Speech Segments

Lerato Lerato, Thomas Niesler

Dynamic time warping (DTW) can be used to compute the similarity between two sequences of generally differing length. We propose a modification to DTW that performs individual and…