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深的。人工智能硬件仿真插件系列。这是一台努力通过人耳图灵测试的机器，这是一种具有复古心脏的深度学习人工智能技术。
Deep Vintage系列是一套模拟真实硬件的插件。利用AI的力量，每个深度复古插件都真实地捕捉了复古装备的真正“灵魂”。
由三体科技自主研发的APNN(音频处理神经网络)，一种专门模拟模拟效果处理器的机器学习技术，Deep Vintage保证您最接近传奇硬件模型的聆听体验，同时确保完整的实时处理。
有什么不同?
我们已经接触了许多仿真技术:物理建模、卷积……等等。无论采用何种技术，我们的最终目标都是一致的:在再现现实世界设备的声音时达到最高的保真度。
APNN经过精心设计和训练，在这项任务中表现出色，因为它的学习是基于来自真实硬件单元的音频信号。Deep Vintage插件不仅仅是“理论上正确的电路建模”，也不仅仅是基于谐波结构或脉冲响应;它们在模拟声音中捕捉到100%的3D感觉。
简单来说，APNN是一种专门针对音频处理进行优化的神经网络，由大量音频处理模块(EQ、压缩器、overdrive等)组合而成。
为了捕捉硬件模型的本质，APNN将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在大约-40dB到-75dB(取决于硬件模型)的范围内实现相位抵消的错误信号。有了这种卓越的误差控制水平，甚至超过了同一硬件模型的不同生产批次之间的差异，我们可以自信地说，APNN能够“欺骗”人的耳朵。
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当我们直接将AD(模数转换器)连接到DA(数模转换器)时，它是否有任何区别?绝对没错!受世界顶级AD/DA转换器的启发，Green AD AI将模拟温暖带入数字世界。
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.
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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