13 MB
Subhoofer is a bass enhancement saturation plugin, along with a subharmonic generator.
Subhoofer is aimed at being a replacement for other subharmonic generation plugins. Use it to make your bass audible on small speakers or extend the sub range in bass signals! You can also beef up guitars, add bass to other instruments, presence to vocals etc. Experiment with extreme values at your own risk.
Subhoofer can generate bass harmonics as well as a subharmonic in addition to a few saturations aiding it
The default settings are already configured to mimic a bass plugin of renaissance 🙂 However feel free to tweak further!
Parameters:
● In Gain – Gain before any processing happens
● Out Gain – Gain after all processing happens
● Wet – How much processed sound is there instead of dry/unprocessed sound
● Hardness – Tone control for harmonics – modified Chebyshev algorithm
● Harmonics – Generated harmonics added to the signal
● Harmonic Algorithm – The methods used to generate harmonics:
● A Bass 3: Ardura’s algorithm remade generating harmonics differently
● A Bass 2: Ardura’s algorithm updated in 2024 for bass enhancement
â—Ź 8 Harmonic Stack: An 8 harmonic stack with a different low-focus than Algorithm 1
â—Ź Duro Console: A Modified 7 harmonic stack from Duro Console that favors non octave harmonics
â—Ź TanH Transfer: Harmonics added in from a tanh transfer function pretending to be tape
â—Ź Custom: Custom Harmonic Sliders for user to create their own tones
● Sub Gain – Gain for the subharmonic generator
● Sub Drive – Send the subharmonic signal to TanH Transfer for subtle Sub harmonics added in
Installation
Drag the vst3 file into your “C:\Program Files\Common Files\VST3” directory or wherever your vst3 are stored. Done!
Other Build information
The builds on GitHub and KVR are VST3 and CLAP format, and are compiled on the following machine types:
Ubuntu 22.04
Windows’ 2022 build (Win10? The Github runner just lists “Windows-2022”)
MacOS 12
The MacOS M1 build is on OS 14
https://github.com/ardura/Subhoofer
Subhoofer_v222 ( 13 MB )
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