Closed felixkreuk closed 3 years ago
Refer to the end of page 19 in my thesis.
EER evaluation was probably the shakiest part of my work, mainly because I couldn't find details of the procedure in the literature. If you're looking to have a metric to report in an academic context, I'd highly recommend you reproduce it on your own. And if you do, I'm interested in the results.
I was actually interested in using your speaker encoder for generation purposes. Your demo sounds quite good, but having an objective metric is always nice :)
On 24 Feb 2021, at 14:59, Corentin Jemine notifications@github.com wrote:
Refer to the end of page 19 in my thesis.
EER evaluation was probably the shakiest part of my work, mainly because I couldn't find details of the procedure in the literature. If you're looking to have a metric to report in an academic context, I'd highly recommend you reproduce it on your own. And if you do, I'm interested in the results.
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Hi, thanks for this repository. I understand that the speaker embedding model is based on "Generalized End-To-End Loss for Speaker Verification" and was trained on VoxCeleb2. Could you please mention what is the EER of your pre-trained model?
Thank you