# Automated COVID-19 diagnosis
This repo contains the code created by Elien Martens during IAESTE internship summer 2021, Technical University of Kosice (Slovakia). 

## Data

The [Interspeech Computational Paralinguistics ChallengE (ComParE) 2021](vhttp://www.compare.openaudio.eu/now/) proposes two challenges related to COVID-19 detection based on audio samples. Such samples represent speech and cough audio from both healthy and infected speakers. The COVID-19 Speech Sub-Challenge (CSS) offers 3.24 hours of audio recordings containing speech samples, while the COVID19 Cough Sub-Challenge (CCS) provides 1.63 hours of cough samples.
The COVID-19 datasets can be obtained through The University of Cambridge. 

## How it works
-   clone repository
-   add data (see [Data](##data) section), so that the structure is the following:
```
CovidSpeechChallenge
  |-- dist/
  	|-- lab/
	|-- wav/
  |-- features/
  |-- results/
  |-- src/
  |-- vggish/
  |-- run_experiments.sh
```
- run .\run_experiments.sh

## Acknowledgements