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 _________________________________________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