[AI Artificial Intelligence Analog Hardware Simulation Plugin] Three Body Tech Deep Vintage Green AD AI v1.0.0 [WIN] (35.8MB)

[AI人工智能模拟硬件仿真插件]Three Body Tech Deep Vintage Green AD AI v1.0.0 [WIN](35.8MB)插图

SEnki | 05 September 2024 | 35.8 MB

Installation method:Direct install, no activation version.

Deep Vintage
AI hardware emulationplug-in (software component)range
It's a machine that's trying to pass the Turing test for the human ear.
A deep learning AI technology with a retro heart.

The Deep Vintage series is a set of plugins that simulate real hardware. Utilizing the power of AI, each Deep Vintage plugin realistically captures the true "soul" of vintage gear.

Deep Vintage uses Tri-Tech's proprietary APNN (Audio Processing Neural Network) - a machine learning technology that specializes in simulating analog effects processors - to ensure that you get the closest possible listening experience to the legendary hardware model, while ensuring full real-time processing.

How is it different?
We have been exposed to many simulation techniques: physical modeling, convolution ...... and so on. Regardless of the technique used, our ultimate goal is the same: to reproduce the sound of a real device with the highest fidelity.

APNN has been carefully designed and trained to excel at this task because it learns based on audio signals from real hardware units. The Deep Vintage plug-ins are not just "theoretically correct circuit modeling" or based on harmonic structure or impulse response; they capture the 3D feel of 100% in analog sound.

How does it work?

Simply put, APNN is a neural network optimized specifically for audio processing, consisting of a combination of a large number of audio processing modules (EQ, compressor, overload, etc.).

In order to capture the essence of the hardware model, APNN automatically adjusts its structure and parameters until the difference between its output and that of the hardware diminishes.

Ultimately, the APNN achieves a phase-canceled error signal of approximately -40dB to -75dB (depending on the hardware model). With this excellent level of error control, even beyond the differences between production lots of the same hardware model, we can confidently say that the APNN is able to "trick" the human ear. green

AD AI
Does it make a difference when we connect an AD (analog to digital converter) directly to a DA (digital to analog converter)? Of course! Inspired by the world's top AD/DA converters, Green AD AI brings the warmth of analog to the digital world.

Deep Vintage
AI-Powered Hardware Simulation Plugin Series
This is a machine that endeavors to pass the human-ear Turing Test.
a deep-learning AI technology with a vintage heart.

Deep Vintage series is a suite of plugins that simulate real hardware. Utilizing the power of AI, every Deep Vintage plugin authentically captures the true 'soul' of the vintage gear. true 'soul' of the vintage gear.

Powered by Three-Body Tech's self-developed APNN (Audio Processing Neural Network), a machine learning technology specialized in simulating analog effect processors, Deep Vintage guarantees you the closest listening experience ever to the legendary hardware models, while ensuring a complete real-time processing.

How is it different?
We have been exposed to numerous emulation technologies: physical modeling, convolution... among many others. Regardless of what technologies we have to engage, our ultimate goal is consistent: to achieve the highest possible fidelity in reproducing the sound of the real-world devices. to engage, our ultimate goal is consistent: to achieve the highest possible fidelity in reproducing the sound of the real-world devices.

APNN was meticulously designed and trained to excel in this task, as its learning is based on audio signals from the real hardware units. Deep Vintage plugins are not merely 'theoretically correct modeling of circuits' nor solely based on harmonic structures or impulse. plugins are not merely 'theoretically correct modeling of circuits' nor solely based on harmonic structures or impulse Deep Vintage plugins are not merely 'theoretically correct modeling of circuits' nor solely based on harmonic structures or impulse responses; they capture 100% 3D feels in the analog sound.

How does it work?

To put it simply, APNN is a neural network specifically optimized for audio processing, which is composed of a massive combination of audio processing modules (EQ, compressor, overdrive, etc.).

To capture the essence of a hardware model, APNN will automatically adjust its structure and parameters until the difference between its output and the hardware's output progressively diminishes. APNN will automatically adjust its structure and parameters until the difference between its output and the hardware's output progressively diminishes.

Ultimately, APNN achieves an error signal of phase cancellation at about -40dB to -75dB (depending on the hardware model). With this exceptional level of error control, which surpasses even the variance between different production batches of the same hardware model, we can confidently say that APNN is capable of 'deceiving' human ears. confidently say that APNN is capable of 'deceiving' human ears.

Green AD AI
Does it make any difference when we directly connect an AD (Analog to Digital converter) to a DA (Digital to Analog converter)? Inspired by a world's top-tier AD/DA converter, Green AD AI brings analog warmth into the digital world.

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