Accentize - DeRoom² Pro

DeRoom² Pro is a Machine-Learning based reverb removal audio plug-in built for professional use. An artificial neural network has been trained on many different room scenarios in order to be able to separate direct sound from reflection components.

The real-time processing scheme provides instantaneous feedback while changing parameters and allows seamless integration into your workflow without having to switch applications.

Accurate Speech Restoration

All signal components which result from sub‑optimal recording conditions are automatically detected and removed.

The de‑reverberation can significantly improve the perceived speech quality and intelligibility.

No matter if recorded in an acoustically untreated recording room or even in a large church, DeRoom Pro will fix your recording.

Automatic Room Size Estimation

The DeRoom Pro algorithm automatically estimates the optimal room-size settings. During the training phase the neural network has listened to a great variety of different room conditions and can now automatically apply the required filtering.

Higher Accuracy

The second generation of DeRoom Pro features an improved filtering algorithm which provides a higher accuracy when detecting room reflections.

Especially noticeable when using with recordings in larger rooms with long reverb tails.

Waveform and Spectrogram

Choose between two different visualization modes to directly see how DeRoom Pro is affecting the signal.

While the Waveform view shows the broadband energy, the Spectrogram view allows you to observe different frequency components.

Features

• Room Resonance Suppression
• Reverb Removal
• Automatic Room Size Detection
• Pro-Algorithm
• Spectral Focus Mode
• Attack/Release Controls
• Only Reverb Listening
• Separate L+R Channel Processing
• Spectrogram and Gain Visualization

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System Requirements

iLok

• iLok Machine, iLok Cloud, and iLok USB licensing supported

Mac

• macOS 10.12 or higher
• 64 bit
• Apple Silicon compatible
• 4 GB RAM or higher

PC

• Windows 7 or higher
• 64 bit
• 4 GB RAM or higher

Plugin Formats

• AAX Native, AU, and VST3