Copy this repo.

pip install -r ./requirements.txt
gdown --fuzzy https://drive.google.com/file/d/1x2eQphWpaE6B1l6OxYQerhhcI3ctx3WG/view?usp=sharing -O final_data/model.pth

Download ASVSpoof 2019 Dataset from Kaggle and place LA folder in data/dataset/LA there we have LA files.

You can use my Google Disk link.

gdown --fuzzy https://drive.google.com/file/d/1-itpc_8Eihd7SKJCPkOR4xbtjKzGWF4X/view?usp=sharing
unzip data.zip

Then run scripts using train.py and test.py. test.py will print probabilities for each file in CMD. script count_eer.py counts EER on eval dataset with the same model.

Learning configs are located in learning_configs, and final learning script is learning_configs/config_no_abs.json

Link to report