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Time-domain synthetic speech detection net (TSSDNet), having the classic ResNet and Inception Net style structures (Res-TSSDNet and Inc-TSSDNet), for end-to-end synthetic speech detection. They achieve the state-of-the-art performance in terms of EER on ASVspoof 2019 challenge and promising generalization capability tested on ASVspoof 2015.

License: GNU General Public License v3.0

Python 100.00%

end-to-end-synthetic-speech-detection's Issues

Not working for FoR dataset

Hi ghuawhu ,

Thanks for providing the pre-trained model but I have tested your model for FoR dataset by aptly lab and it is not working at all!

EER = 44 % for eval dataset
Accuracy = 48.64 %
could you please tell me what is the reason behind this and model is working fine for the asvspoof2019 dataset but when I tested for the new or unseen dataset, it is not working as expected?

Also , please provide me your email id for further contact.

Thanks,
Utkarsh

Not able to predict my own voice

whenever I used to apply a pre-trained model on my own real voice, it shows the following error:

RuntimeError: mat1 dim 1 must match mat2 dim 0

Do you what is the reason for this error?

Note: it works well for other data apart from my real recorded voice.

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