This is the first release of NeuralRack. NeuralRack is a Neural Model loader (based on Ratatouille), 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 <https://tonehunt.org/models?tags%5B0%5D=nam> with the Neural Amp Modeler <https://github.com/sdatkinson/NeuralAmpModelerCore> engine, or *.json or .aidax files <https://tonehunt.org/models?tags%5B0%5D=aida-x> with the RTNeural <https://github.com/jatinchowdhury18/RTNeural> engine. For tone sharping a 6 band EQ could be enabled. NeuralRack provide a mono input and a stereo output. Additional it allow to load up a separate Impulse Response file for each output channel (stereo). Neuralrack provide a buffered Mode which introduce a one frame latency when enabled. It moves the complete processing into a background thread. That could reduce the CPU load when needed. The resulting latency will be reported to the host so that it could be compensated. NeuralRack could be build as LV2 plug or/and as stand alone application. Stand alone it could be used with JackAudioConnection Kit or with Alsa (pipewire). Project Page is here: https://github.com/brummer10/NeuralRack Release Page with pre-build binaries is here: https://github.com/brummer10/NeuralRack/releases/tag/v0.1.1
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