Accentize DeRoom 2
Machine-Learning-Based Reverb Removal Plugin
DeRoom is a Machine-Learning based audio plug-in to reduce or remove reverb and room resonances in real-time.
An artificial neural network has been trained on many different room scenarios in order to be able to separate direct sound from reflection components.
Reverb tails and echos are automatically detected and then precisely suppressed or if desired entirely removed.
DeRoom is perfectly suited to increase the quality and intelligibility of speech which has been recorded in very reverberant environments.
Increased Speech Intelligibility
DeRoom will instantly improve dialogue which has been recorded in a sub-optimal environment and can immensely increase the perceived speech quality.
No matter whether the speaking person is recorded in a living room or even a huge church, the room echo and reverb will be analysed and automatically eliminated!
Automatic Parameter Estimation
No need to estimate and set room timing constants by hand.
The algorithm will figure it out internally in an automatic fashion.
Only set the reduction amount and let the neural network remove the unwanted reverb.
Features
- Room Resonance Suppression
- Reverb Removal
- Automatic Room Size Detection
- Standard Algorithm
System Requirements
- MacOS 10.14 Mojave and above
- Officially supported up to MacOS 14 Sonoma
- Windows 7 and above (64-bit only)
- Intel, AMD, or Apple Silicon CPU
- 4GB RAM or more
Plugin Formats
AAX Native, AU, and VST3
User Manual
