16 citations · 29 across the 3 of their papers we have counts for
3 papers
Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 from Audio Challenges
Alican Akman, Harry Coppock, Alexander Gaskell +3
We report on cross-running the recent COVID-19 Identification ResNet (CIdeR) on the two Interspeech 2021 COVID-19 diagnosis from cough and speech audio challenges: ComParE and DiCO…
End-2-End COVID-19 Detection from Breath & Cough Audio
Harry Coppock, Alexander Gaskell, Panagiotis Tzirakis +3
Our main contributions are as follows: (I) We demonstrate the first attempt to diagnose COVID-19 using end-to-end deep learning from a crowd-sourced dataset of audio samples, achie…
Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networks
Björn W. Schuller, Harry Coppock, Alexander Gaskell
The COVID-19 pandemic has affected the world unevenly; while industrial economies have been able to produce the tests necessary to track the spread of the virus and mostly avoided…