Model checkpoints for paper Post-training for Deepfake Speech Detection
Authors/Creators
Description
README
This repository contains the model checkpoints for our paper
Post-training for Deepfake Speech Detection
Wanying Ge, Xin Wang, Xuechen Liu, Junichi Yamagishi.
Code and instructions for using these models can be found in the official git repository: https://github.com/nii-yamagishilab/AntiDeepfake/
Please follow the README in the git repository to use the pre-trained models.
Please cite the paper if you use the codes or pre-trained models in your work.
COPYING
All checkpoints are licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International https://creativecommons.org/licenses/by-nc-sa/4.0/
Please see `LICENSE-CHECKPOINT` for the terms and conditions of this pretrained model.
ACKNOWLEDGMENTS
This project is based on results obtained from project JPNP22007, commissioned by the New Energy and Industrial Technology Development Organization (NEDO).
It is also partially supported by the following grants from the Japan Science and Technology Agency (JST):
- AIP Acceleration Research (Grant No. JPMJCR24U3)
- PRESTO (Grant No. JPMJPR23P9)
This study was carried out using the TSUBAME4.0 supercomputer at the Institute of Science Tokyo.
Files
README.txt
Files
(46.3 GB)
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Additional details
Software
- Repository URL
- https://github.com/nii-yamagishilab/AntiDeepfake/
- Programming language
- Python