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Cough Monitoring Through Audio Analysis, Thomas Snella

Dissertations

The detection of cough events in audio recordings requires the analysis of a significant amount of data as cough is typically monitored continuously over several hours to capture naturally occurring cough events. The recorded data is mostly composed of undesired sound events such as silence, background noise, and speech. To reduce computational costs and to address the ethical concerns raised from the collection of audio data in public environments, the data requires pre-processing prior to any further analysis.

Current cough detection algorithms typically use pre-processing methods to remove undesired audio segments from the collected data but do not preserve the …