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NeuralRack is a Neural Model loader. It allow to load two model files and run them serial.
The input/output could be controlled separate for each model.
It supports *.nam files and/or *.json or .aidax files by using the NeuralAudio engine.
For Impulse Response File Convolution it use FFTConvolver
Resampling is done by Libzita-resampler
It features a Noise Gate and, for tone sharping a 6 band EQ.
The EQ could be moved around (drag and drop) to be used as pre or post EQ.
NeuralRack provide a mono input and a stereo output.
It allow to load up a separate Impulse Response file for each output channel (stereo), or.
mix two IR-Files to a two channel mono output.
Neuralrack provide a buffered Mode which introduce a one frame latency when enabled.
It could move one Neural Model, or the complete, processing into a background thread. That could reduce the DSP load when needed.
The resulting latency will be reported to the host so that it could be compensated.
Project Page: https://github.com/brummer10/NeuralRack
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