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深度复古
AI驱动的硬件模拟插件系列

这是一台旨在通过人耳图灵测试的机器，
一种拥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。利用AI的强大功能，每个Deep Vintage插件都能真实捕捉复古设备的“灵魂”。

由Three-Body Tech自主研发的APNN（音频处理神经网络）驱动，这是一项专门用于模拟模拟效果处理器的机器学习技术。Deep Vintage保证了与传奇硬件模型最接近的听觉体验，同时确保完全实时处理。

有什么不同？ 我们已经见过无数的仿真技术：物理建模、卷积……还有许多其他方法。无论采用何种技术，我们的终极目标始终一致：在重现真实设备声音时，达到最高的保真度。

APNN经过精心设计和训练，专门在这一任务中表现卓越，因为它的学习是基于真实硬件设备的音频信号。Deep Vintage插件不仅仅是“理论上正确的电路建模”，也不仅仅基于谐波结构或脉冲响应；它能够捕捉到模拟声音的100% 3D质感。

它如何工作？ 简单来说，APNN是一个专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，直到其输出与硬件的输出之间的差异逐渐缩小。

最终，APNN能够实现约-40dB到-75dB的相位抵消误差信号（具体取决于硬件模型）。凭借这种出色的误差控制水平，甚至超越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足以“欺骗”人类的耳朵。

US Rack AI
灵感来自一个传奇的“US”风格通道条，它具有前置放大器、线路驱动器和著名的均衡器，US Rack Al在提供高度音乐性和丰富的模拟声音的同时，保持了卓越的灵活性。

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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.

US Rack AI

Inspired by a legendary ‘US’ style channel strip that features a preamp, a line-driver, and a renowned EQ, US Rack Al delivers a highly musical and rich analog sound while maintaining extraordinary flexibility.

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