NAM ON STEROIDS - VST3/AU Plugin and Standalone

RM 0.00

Expanded version of the popular Gateway plugin (ex Neural Amp Modeler) by Steve Atkinson which loads and plays NAM models.

What it offers more than Gateway:

  • Oversampling (up to 32x): allows to get rid of aliasing by using a novel oversampling technique called "Time-scaled convolution".
    Besides classic upsampling-filter-downsampling, Wavenet convolution-based models require to have dilations and other internal parameters multiplied by the oversampling rate to not produce aliasing and sound correct.
  • Separate oversampling and anti-alias filter settings for realtime playback and offline rendering.
  • Multi-core support: spreads the CPU load across all available cores when using oversampling.
  • Stereo processing: you can choose to process the signal in stereo, this applies the same NAM model, IR and settings to both channels, but keeps them separate for true stereo processing.
  • Customizable tonestacks: you can switch between different tonestacks based on schematics of popular amps/pedals/outboard gear to change how the EQ controls behave.
    You can also customize them by changing component values.
  • Pre/post EQ switch: move the tonestack processing pre or post NAM model.
  • Filters: low-cut and high-cut filters with indipendent slope and pre/post settings.
  • Boost: 12 dB of additional gain at the input of the model.
  • Presets: 128 internal presets that can freely be named and recalled via MIDI Program Changes.
  • Remote parameters control: assign (or learn) a custom CC message to any of the main parameters of the plugin.
  • Noise gate detector placed before the gain control: so you don't need to adjust the threshold each time you change the input gain setting.
  • Theme color selector: you can freely change the color of all coloured elements in the GUI.
    You can also make the color follow the track color in your DAW project.
  • A simple and handy tuner


Available for Windows and Mac as plugin and standalone
Open source project: https://github.com/DLC86/NAM-Oversampler

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