■Plug-in Bundle
===================================
■Download Delivery
- Approximately 10 minutes after completing your purchase, the activation code will be delivered to your registered email address.
- Activate the code you received on the D2R page below and you will receive product installation information via email. (You can also view the information by clicking the email icon on the D2R page.)
D2R Page
*If you do not have a D2R Page account, please register by clicking ""Register here"" on the D2R page.
- You can also check your D2R registration activation code by clicking ""Order Details"" in your purchase history on your Sound House My Page.
*It may take a few minutes for the information to be reflected in your purchase history.
- Click ""Support Information"" under ""Order Details"" to display activation information.
- For detailed installation/usage instructions, please contact the manufacturer.
====================================
The ""3-in-1 EQ BUNDLE"" is a bundled product that combines three powerful EQ plug-ins: ""TUBE SHELF,"" ""TUBE BELL,"" and ""TUBE FILTER."" Not only do they offer impressive EQ characteristics, but they also faithfully emulate the unique color of vacuum tube circuits! Bring the charm of vacuum tubes to your sound.
■Included Products
- TUBE SHELF
Inspired by one of the most timelessly beloved musical program EQs, this plug-in allows for easy adjustment of low and high frequencies, achieving a balanced sound.
・TUBE BELL
Features two peak and dip sections using bell-shaped filters, specializing in the mid-range. It precisely processes the midrange, enhancing the clarity and presence of instruments.
・TUBE FILTER
Provides smooth high-pass and low-pass functions, ideal for ""darkening"" sounds or adding a warmer tone to the low frequencies.
AI Hardware Simulation Plug-in Series ""Deep Vintage""
The Deep Vintage series is a collection of plug-ins that harness the power of AI to simulate authentic hardware. These machines are capable of withstanding the Turing test of the human ear, faithfully capturing the true ""soul"" of vintage gear.
Three-Body Tech's proprietary machine learning technology, APNN (Audio Processing Neural Network), specialized in simulating analog effect processors, ensures a listening experience closest to legendary hardware models while maintaining complete real-time processing.
APNN (Audio Processing Neural Network) 2.0
Three-body Tech has explored numerous emulation techniques, including physical modeling and convolution. Regardless of the technology used, THREE-BODY TECH's ultimate goal remains consistent: to reproduce the sound of real-world devices as faithfully as possible.
Trained with THREE-BODY TECH's proprietary APNN (Audio Processing Neural Network) 2.0, Deep Vintage delivers a listening experience indistinguishable from the original hardware.
APNN is a neural network optimized for audio processing, consisting of a large number of audio processing modules (EQ, compressor, overdrive, etc.). During the training process, the same audio is input to both APNN 2.0 and the hardware, and APNN 2.0 learns how the hardware alters the input signal in both waveform and spectral dimensions. To capture the essence of the modeled hardware, APNN 2.0 automatically adjusts its structure and parameters until the difference between the hardware and APNN 2.0 output is small. This means that a fully trained APNN 2.0 instance can capture both the dynamic and tonal characteristics of the source hardware.
Ultimately, the APNN achieves phase cancellation with an error of approximately -40dB to -75dB (depending on the hardware model). This exceptional level of error control, which even surpasses the variability between different production lots of the same hardware model, allows us to confidently say that APNN can ""fool"" the human ear.
After the APNN 2.0 instance completed training, THREE-BODY TECH conducted rigorous human testing and continued tuning until the entire team passed the ABX test. No plug-in in a DAW is as close to the real hardware as an APNN 2.0-powered plug-in.
■ Operating Environment
For the latest operating environment information, please refer to the
manufacturer website product page.
すべてのレビューを見る