The official repository for ERDBF. The rest content is updating.
- numpy
- opencv-python
- torchvision
- torchaudio
- torch
AgeVoxCeleb: https://github.com/nttcslab-sp/agevoxceleb
Morph-ii: https://uncw.edu/oic/tech/morph.html
speech-modal models: https://drive.google.com/drive/folders/17OFhs2BKoooxL9o2T4YxJdkN-b6Fqjkn?usp=sharing
speech-modal processed data: https://drive.google.com/drive/folders/1kL57FqiQQnCmC89I4hPfVJiU9omyIkvR?usp=sharing
face-modal: https://drive.google.com/drive/folders/1ftD_l2bXPsjI54dQ6VwnEi59tSpRghfQ?usp=sharing
face-modal processed data: coming soon.
multi-modal: https://drive.google.com/drive/folders/1bQex3HNZn-LaOOjKnVNlsWbp6EHyo5bT?usp=sharing
multi-modal processed data:https://drive.google.com/drive/folders/1fg4DE7vL3z_8y0g_3WUFrImcmr3fuF4N?usp=sharing
coming soon.
(1) Download the pre-trained models and processed data.
(2) Update the data load path in dataset.py to match the path where the downloaded data is stored.
(3) Update the pre-trained models load path in test.py to match the path where the downloaded models are stored.
(4) Run the test script for ERDBF in multi-modal test condition by executing the following command: python test_ERDBF.py