CovidSpeechChallenge_2021/README.md

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