26 lines
1.0 KiB
Markdown
26 lines
1.0 KiB
Markdown
# Automated COVID-19 diagnosis
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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.
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The COVID-19 datasets can be obtained through The University of Cambridge.
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## How it works
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- clone repository
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- add data (see [Data](##data) section), so that the structure is the following:
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```
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CovidSpeechChallenge
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|-- dist/
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|-- lab/
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|-- wav/
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|-- features/
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|-- results/
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|-- src/
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|-- vggish/
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|-- run_experiments.sh
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```
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- run .\run_experiments.sh
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## Acknowledgements
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