THREE-BODY TECH / TUBE FILTER download delivery

This EQ plugin boasts smooth high-pass and low-pass filters. Available for download.

■Plugins
■EQ
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■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 Sound House My Page or Purchase History.
*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.
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""TUBE FILTER"" is an EQ plug-in that primarily handles high and low cuts, complementing the functionality of ""TUBE BELL"" and ""TUBE SHELF."" While high cuts are less commonly used in mixing than low cuts, TUBE FILTER's high cut stands out with its uniquely smooth and natural characteristics, making it an excellent tool for ""darkening"" your sound when needed.

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 real hardware. This machine can withstand the Turing test of the human ear, faithfully capturing the true soul of vintage equipment.

Three-Body Tech's proprietary APNN (Audio Processing Neural Network), a machine learning technology specialized in simulating analog effect processors, ensures a listening experience that is closest to the legendary hardware models while maintaining complete real-time processing.

APNN (Audio Processing Neural Network) 2.0
Three-Body Tech has experimented with numerous emulation technologies, including physical modeling and convolution. No matter what technology is used, THREE-BODY TECH's ultimate goal remains consistent: to reproduce the sound of real-world devices as faithfully as possible.

Trained by THREE-BODY TECH's proprietary APNN (Audio Processing Neural Network) 2.0, Deep Vintage delivers a listening experience that is 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 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, it automatically adjusts its structure and parameters until the difference between the hardware and APNN 2.0 outputs is small. In other words, a fully trained APNN 2.0 instance is able to capture both the dynamic and tonal characteristics of the source hardware.

In the end, 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 variations between different production lots of the same hardware model, allows us to confidently state that APNN can ""fool"" the human ear.

After the APNN 2.0 instance completed training, THREE-BODY TECH conducted rigorous human testing, continuing to adjust the entire team until the entire team passed the ABX test. No other DAW plugin is as close to real hardware as an APNN 2.0-powered plugin.

■Features
Drive
Adjusts the saturation caused by the drive effect. If you only want to use the equalizer function, disabling Drive will also disable Output Gain.

Low Cut Frequency
Sets the low-cut frequency band.

High Cut Frequency
Sets the high-cut frequency band.

Dual Switch (Link Mode)
Unlike other Deep Vintage plugins, the Tube model's link mode switch is located as a ""Dual"" button. When disabled, it operates like other plugins with L/R link mode enabled. When enabled, the GUI expands to two panels, allowing you to process the left and right channels independently. In M/S mode, the Mid and Side channel adjustments are linked/unlinked.

Other Features
- Switchable Noise Simulation
Real hardware is inherently noisy. In fact, some vintage gear generates very high levels of noise. When an APNN learns from a hardware model, the network cannot be instructed to distinguish between sound and noise during the training process, so it captures all sound, including noise. Fortunately, APNNs are not completely black boxes; you can control whether or not to generate noise after training. You can also disable/enable noise simulation in each DEEP VINTAGE product according to your preference. * Green AD AI does not have a 'Noise' button; this is because the noise level of the hardware models is low, making it unnecessary to disable it.
- Harmonics
Generates a certain amount of harmonics based on the modeled hardware. The Drive knob controls saturation by adjusting the input gain, while Harmonics directly edits the network model, forcing a reduction in the amount of generated harmonics. At 100% (default), the harmonic characteristics closely resemble those of the hardware model; lowering the value proportionally reduces the amount of harmonics (though due to the nature of the network architecture, it is not possible to completely bypass harmonics). This allows the plug-in to operate in a cleaner state, preserving mostly only the frequency response and dynamics.
- Oversampling
While Deep Vintage leverages the power of AI to closely resemble the hardware models that inspired it, digital audio still suffers from the curse of aliasing. Enabling 2x, 4x, 8x, and 16x oversampling can significantly reduce aliasing.
- Undo/Redo
- A/B Switching
- L/R/M/S Channel Monitoring
You can solo and monitor any of the left, right, middle, or side channels.
- Input/Output Level Meters
- Mono Mode
- LR/MS Processing
- Phase Inversion
- GUI Rescaling

Latency
Approximately 0.6 ms at 26 sample points and 44100 Hz

■ System Requirements
For the latest system requirements, please refer to the manufacturer's product page.