Audiosingularity releases Neurontube Debut, a freeware guitar amplifier plugin that rocks!
Guitarists who are going digital and recording into their DAWs, please take note. Neurontube Debut is possibly one of the most potent free guitar amp options that you will find in the modern pro audio landscape.
The makers, Audiosingularity, have used artificial intelligence to model stomp pedals and combined it with precision-recorded classic cabinets and hand-picked and carefully modeled amps. The resulting plugin is a beautiful and powerful-sounding guitar amp plugin that will make you fall in love with the classic electric guitar sounds.
The pedalboard is very well put together, with just the right number of pedals to give all that you need to create a powerful tone. It has fuzz distortion, delay, room reverb, chorus, and even a compressor. This combination is powerful enough to give you the perfect sound for your electric guitar.
You might even use your soft synth or analog synth and route the audio through the Neurontube Debut to get some exciting sound design options.
Audiosingularity has focussed a lot on recreating some of the best sounds that shaped the sound of the electric guitar through the ages. So you get names like Laney, Soldano, and Marshall when you are going through the amp and cabinet selections that you can choose from.
Even though these legendary names were not directly involved in the making of this plugin, popular vintage gear made by them served as the basis for the precision modeling that the company has achieved for this plugin.
The user interface is simple and made to look like an amp, of course. There are controls and levels for the input/output signals, noise gate control, amp selector, preset editor for saving your favorite sounds, and sections for amp, cabinet, pedals, etc.
This is a 64-bit VST3 plugin and works on both macOS and Windows. There’s also a Linux version, which should please a lot of open-source music makers. Get it at the official website linked below.
Download: Neurontube Debut
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