| src | ||
| vggish | ||
| extract_vgg_features.py | ||
| presentation_results.pptx | ||
| README.md | ||
| run_experiments.sh | ||
| svm.py | ||
| transformer.py | ||
covid-19 speech diagnosis
This repo contains the code created by Elien Martens during IAESTE internship summer 2021, Technical University Kosice (Slowakia).
Dataset
The COVID-19 datasets can be obtained through The University of Cambridge. (see also compare.openaudio.eu, Interspeech Computational Paralinguistics Challenges 2021)
How it works
- clone repo
- add data (see Dataset section above), so that the structuring is the following: CovidSpeechChallenge -> raw_files -> train -> test -> devel -> labels -> vgg_features -> hand_features -> vggish ...
- run .\run_experiments.sh