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I test the performance of your pretrained model on the famous dataset VoxCeleb1(http://www.robots.ox.ac.uk/~vgg/data/voxceleb/). The EER I got is 30%. I used the compute_d_vector.py to get the d_vector of the audio and computed the cosine distance between 2 audios.
Could you tell me why? Thanks a lot.
The text was updated successfully, but these errors were encountered:
I test the performance of your pretrained model on the famous dataset VoxCeleb1(http://www.robots.ox.ac.uk/~vgg/data/voxceleb/). The EER I got is 30%. I used the compute_d_vector.py to get the d_vector of the audio and computed the cosine distance between 2 audios.
Could you tell me why? Thanks a lot.
HI, I'm working on applying the sincnet on voxceleb and would you mind specifying how to handle the problem? Appreciate that!
I test the performance of your pretrained model on the famous dataset VoxCeleb1(http://www.robots.ox.ac.uk/~vgg/data/voxceleb/). The EER I got is 30%. I used the compute_d_vector.py to get the d_vector of the audio and computed the cosine distance between 2 audios.
Could you tell me why? Thanks a lot.
The text was updated successfully, but these errors were encountered: