SincNet
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EER is very high on dataset VoxCeleb1
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.
How did you compute the EER?
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!