当前位置：
  1. 首页
  2. 资源中心
  3. 软件插件
  4. WIN插件
  5. 正文
上一集 下一集
正在播放

 

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”。

该系列由 Three-Body Tech 自主研发的 APNN（音频处理神经网络）技术驱动，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，并确保实时处理。

有何不同？
我们已经接触过许多仿真技术：物理建模、卷积……等等。无论采用何种技术，我们的最终目标始终如一：实现对真实设备声音的最高保真度还原。

APNN 经过精心设计和训练，能够在这一任务中表现出色，因为它基于真实硬件设备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，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。

Tape S AI
灵感来自 80 年代末至 90 年代初的一台 1/4 英寸磁带机，许多专业人士都钟爱其独特的音质签名。Tape S AI 在混音中提供了卓越的音质表现，以其温暖的中频、平滑的高频和丰富的谐波为特征，能够增强任何总线或母带混音的深度和饱满度。

Rev1 移除时间炸弹

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.

Tape S AI

Inspired by a 1/4-inch tape machine from the late ’80s – early ’90s which is favored by many professionals for its unique sonic signature, Tape S AI delivers exceptional sound quality in mixing. Characterized by its warm midranges, smooth high ends, and rich harmonics, it enhances depth and richness in any bus or master mix.

Rev1 remove timebomb

相关文章

发表回复

后才能评论