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rnnoise-models

This repository contains the tools and information used to create the various neural network models in rnnoise-nu. With the exception of the tools/ directory and this file, none of this work is creative and thus none of it is subject to copyright.

Note that the name of each model is not meaningful.

Model information

The following table maps expected signal (horizontal) against expected noise (vertical). Note that "voice" is distinct from "speech" by the presence of non-speech human sounds, such as laughter.

General Voice Speech
General marathon-prescription leavened-quisling orig
Recording conjoined-burgers beguiling-drafter somnolent-hogwash

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Trained neural networks and requisite information and data for rnnoise-nu

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