Aims to create a comprehensive voice toolkit for training, testing, and deploying speaker verification systems.
Train and test systems that verify speakers' identities using a comprehensive voice toolkit.
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Free · no card · unsubscribe anytimeAims to create a comprehensive voice toolkit for training, testing, and deploying speaker verification systems.
VAF_2 has 383 stars on GitHub. It has been forked 18 times. VAF_2 is written mainly in Python. It has been in active development since 2023. Its main topics are antifraud, microservices, speaker-diarization, speaker-recognition.
Aims to create a comprehensive voice toolkit for training, testing, and deploying speaker verification systems.
VAF_2 is an open-source project.
Yes. VAF_2 is free and open source — you can use, modify and self-host it.
VAF_2 is written mainly in Python.
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