This repository contains the official implementation of our paper, "One-Class Network with Directed Statistics Pooling for Spoofing Speech Detection". [Paper link]
Installing dependencies:
pip install -r requirements.txt
Run the train.py to train the model on the ASVspoof2019 LA dataset:
python3 train.py -p path_to_your_database -o ./models/new_path --gpu 0 --warmup
Run the test.py to evaluate the pre-trained model on the ASVspoof2019 LA dataset:
python3 test.py -p path_to_your_database -m ./models/OCNet --gpu 0 --part eval
To evaluate the cross-dataset performance on the ASVspoof2021 LA dataset:
python3 cross_dataset_2021.py -p path_to_your_database -m ./models/OCNet -a LA --gpu 0 --phase eval
To evaluate the cross-dataset performance on the ASVspoof2015 dataset:
python3 cross_dataset_2015.py -p path_to_your_database -m ./models/OCNet --gpu 0 --part eval
You can run the 'model_param.py' to print the structure and parameters of the given model:
pyhton3 model_param.py --gpu 0
If you find this work useful in your research, please consider citing this paper.
This code refers to the following two projects: