Three Body Tech – Deep Vintage Bundle 2024.10 – iamdumb (AU, VST3) [OSX]

By | October 11, 2024

 

Year/Release Date : 10/06/2024
Version : 1.0.3
Developer : Three Body Tech
Developer’s website : Three Body Tech
Format : AU|VST3
Bit depth : 64bit
Tablet : Cured
System requirements : macOS 10.9


Deep Vintage :
Legendary hardware modeling with a deep vintage soulDescription
Deep Vintage is a set of legendary hardware modeling plugins
that will immerse you in true analog magic. Deep Vintage doesn’t just pursue seamless replication of circuits or specific tonal qualities,
it simulates the entire sound to reproduce vintage “soul” in the digital world. Depth, sparkle, low-end richness…
every nuance of the hardware’s sonic spirit is ready to rock you, with minimal CPU usage and latency.

APNN 2.0 :
Trained with Three-Body Tech’s proprietary APNN (Audio Processing Neural Network) 2.0 technology,
Deep Vintage learns from sound and only sound, creating a listening experience indistinguishable from the original hardware.
APNN 2.0 is a neural network that specializes in modeling analog hardware.
During training, APNN 2.0 and the hardware will be fed the same audio, and APNN 2.0 will learn
how the hardware changes the sound in both the waveform and spectral dimensions.
This means that a well-trained APNN 2.0 instance can capture both the dynamic
and tonal characteristics of its original hardware. The following diagram shows
how, as APNN 2.0 trains, the deviation in waveform and spectral response gradually decreases,
eventually becoming indistinguishable from the original hardware. Check out the related demos below
to hear how APNN 2.0 gradually learns and reproduces the sound of the hardware. Once an APNN 2.0 instance completes its training, we conduct rigorous human testing
and make adjustments until our entire team fails the ABX test.

This allows us to proudly say:
In digital audio, there’s nothing more authentic than Deep Vintage.

More possibilities :
• Built-in Apple Silicon support
• Undo/Redo
• A/B switching
• Input/output level meter
• Mono mode
• LR/MS processing
• Phase inversion
• GUI scaling



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