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Deep Vintage
AI 驱动的硬件仿真插件系列

这是一台致力于通过“人耳图灵测试”的机器，
一种具有复古灵魂的深度学习 AI 技术。

Deep Vintage 系列是一套模拟真实硬件的插件。借助 AI 的强大能力，每款 Deep Vintage 插件都能真实捕捉复古设备的“灵魂”。

由 Three-Body Tech 自主开发的 APNN（音频处理神经网络）驱动，这是一种专门用于模拟模拟效果处理器的机器学习技术，Deep Vintage 能够为您带来最接近传奇硬件模型的听觉体验，同时确保完全实时处理。

有何不同？
我们接触过许多仿真技术：物理建模、卷积……等等。不论使用何种技术，我们的最终目标是一致的：实现对真实设备声音的最高保真度复现。

APNN 经过精心设计和训练，旨在出色完成这一任务，它基于真实硬件单元的音频信号进行学习。Deep Vintage 插件不仅仅是“理论上正确的电路建模”，也不只是基于谐波结构或脉冲响应；它能够捕捉到模拟声音的 100% 立体感。

它是如何工作的？
简而言之，APNN 是专门为音频处理优化的神经网络，由大量的音频处理模块（均衡器、压缩器、过载等）组成。

为了捕捉硬件模型的精髓，APNN 会自动调整其结构和参数，直到其输出与硬件输出之间的差异逐渐减小。

最终，APNN 实现了约 -40dB 至 -75dB（取决于硬件模型）的相位抵消误差信号。凭借这一卓越的误差控制水平，它甚至超过了同一硬件模型不同生产批次之间的差异，我们可以自信地说，APNN 有能力“欺骗”人耳。

Green AD AI
将 AD（模拟到数字转换器）直接连接到 DA（数字到模拟转换器）会有不同吗？当然有！Green AD AI 受到世界顶级 AD/DA 转换器的启发，将模拟的温暖带入数字世界。

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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.

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 technics 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 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.

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.

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)? Absolutely yes! Inspired by a world’s top-tier AD/DA converter, Green AD AI brings analog warmth into the digital world.

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