DeRoom 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.

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.

 

Intelligent Processing

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. 

 

Second Generation

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.

 

Visualization

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.

 

FEATURE COMPARISON

 

DeRoom

 

• Room Resonance Suppression
• Reverb Removal
• Automatic Room Size Detection
• Standard Algorithm

 

DeRoom Pro

 

 

• 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