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.
The DeRoom Pro algorithm automatically estimates the optimal room-size settings. If you still want to select one of the custom room models (small, medium or large) you can deactivate the automation.
In low latency mode the overall latency has been reduced to roughly one third of the original latency. This is useful for live applications where too much latency is an issue.
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.
Chameleon is being used to match dialogue recorded in a studio to recordings in different locations
Chameleon is being used to match foley to a dialogue recording in an underground parking lot
Chameleon is being used to match a dry hihat-sample to a real drum-set by imitating the reverb of the recording room
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