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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。
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.
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