THREE-BODY TECH / TAPE M download delivery

AI plug-in inspired by legendary vintage-style tape machines. Available for download.

■Plugins
■Tape Emulator
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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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TAPE M AI is a tape emulator plug-in inspired by the finest two-track tape machines manufactured in Germany in the 1970s.

Famous for its precision engineering and high-quality components, the original TAPE M AI machine set the standard for professional audio in the 1970s. TAPE M AI preserves this iconic sound signature, delivering a rich, full-bodied sound that will elevate any recording.

Infuse your tracks with the nostalgic charm of yesteryear or elevate your mixes with the warmth of superior analog. Its robust construction and attention to detail ensure stable, high-fidelity performance, making it a must-have for audiophiles and professionals who demand the very best.

Deep Vintage AI Hardware Simulation Plug-in Series
The Deep Vintage series is a collection of plug-ins that harness the power of AI to simulate authentic hardware. These machines stand the Turing test of the human ear, faithfully capturing the true spirit of vintage gear.

Three-Body Tech's proprietary machine learning technology, APNN 2.0 (Audio Processing Neural Network), specialized for simulating analog effect processors, ensures a listening experience that is closest to the legendary hardware models while maintaining full real-time processing.

APNN (Audio Processing Neural Network) 2.0
Three-Body Tech has experimented with numerous emulation technologies, including physical modeling and convolution. Regardless of the technology used, THREE-BODY TECH's ultimate goal remains consistent: That goal is 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 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 transforms 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 well-trained APNN 2.0 instance is able to capture both the dynamic and tonal characteristics of the source hardware.

Ultimately, APNN achieves phase cancellation with an error of approximately -40dB to -75dB (depending on the hardware model). This exceptional level of error control, even surpassing variations between different production lots of the same hardware model, allows us to confidently say that APNN can ""fool"" the human ear.

After an instance of APNN 2.0 completed training, THREE-BODY TECH conducted rigorous human testing and continued tweaking until the entire team passed the ABX test. Nothing in your DAW is as close to real hardware as a plug-in with APNN 2.0.

■Features
Drive
Fine-tune the drive effect of the current profile.

Output Gain
(-12dB - +12dB)

Link Mode Switch
This toggles the link mode between the two channels, where adjusting parameters on one channel affects the other.

Other Features
- Switchable Noise Simulation
Genuine hardware is inherently noisy. In fact, some vintage gear generates very high levels of noise. When an APNN trains from a hardware model, the network cannot be instructed to distinguish between sound and noise during the training process, so it captures all sounds, including noise. Fortunately, APNNs are not completely black boxes, and you can control whether or not to generate noise after training. Each DEEPV INTAGE product also allows you to disable/enable noise simulation according to your preference. * Green AD AI does not have a 'Noise' button; this is because the noise level of the hardware model is low, making it unnecessary to disable it.
- Undo / Redo
- A/B Switching
- L/R/M/S Channel Monitoring
- Solo out 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.