The following repository contains architecture of SpecRNet model from the paper called "SpecRNet: Towards Faster and More Accessible Audio DeepFake Detection".
Paper link: https://arxiv.org/abs/2210.06105
Install required dependencies using:
pip install -r requirements.txtWe provide the architecture along with:
- time benchmark on batches of random inputs,
- calculation of parameters' number.
To run it please use:
python model.pyIf you use this code in your research please use the following citation:
@INPROCEEDINGS{10063734,
author={Kawa, Piotr and Plata, Marcin and Syga, Piotr},
booktitle={2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)},
title={SpecRNet: Towards Faster and More Accessible Audio DeepFake Detection},
year={2022},
volume={},
number={},
pages={792-799},
doi={10.1109/TrustCom56396.2022.00111}}