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.
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!
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.
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.