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Python toolkit for speech processing

License: Apache License 2.0

Shell 42.91% Python 53.19% Awk 0.02% Perl 3.88%

speaker-recognition adversarial-attacks x-vectors nist-sre cifar mnist voxceleb pytorch plda calibration

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Inquiry about "Non-Contrastive Self-Supervised Learning of Utterance-Level Speech Representations" paper code

I read about "Non-Contrastive Self-Supervised Learning of Utterance-Level Speech Representations" paper this time. I read the paper so well that I could get a lot of information and study.

I'm contacting you because I don't have the code for paper git yet even though you wrote that you will upload the code to git on the paper. I'd like to study more about the research by looking at the thesis and code together, so can I ask when the code content will be uploaded?

Thank you.

how to run the recipes with custom data?

Hi, thanks for sharing this great work.
I want to run speaker recognition for custom datasets (the audios are already pre-processed), how can I just pass a list of speakers (with the path to audio files) to run the recipe?

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