DeRoom Reduces Reverb In Recordings

US Machine-Learning based plug-in eliminates undesired sound components in real time      16/03/20

accentize tells us that DeRoom is a Machine-Learning based audio plug-in to reduce reverb and room resonances from audio recordings in real-time. They say that an artificial neural network has been trained on many different room scenarios in order to be able to seperate direct sound from reflection components. Here's more details in their own words...

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 do the rest.

Three algorithms included
optimized for different scenarios
Fine-tune the results by selecting between three different room types: Small, Medium and Large. The algorithms are developed in individual optimization sessions and can be easily compared against each other.


Pricing and Availability:
41€ until March 27th 2020 (Regular price: 58€)

More information:

 

 



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