DeRoom is an innovative audio plug-in designed to reduce reverb and room resonances from audio recordings in real time. Utilizing advanced machine learning techniques, it effectively minimizes unwanted reflections that can muddy the clarity of recorded sound. This makes it an essential tool for enhancing the quality of audio captured in less-than-ideal acoustic environments.

At the core of DeRoom is an artificial neural network trained on a wide range of room scenarios. This extensive training enables the plug-in to distinguish direct sound from various reflection components with high precision. By isolating the direct sound, DeRoom helps producers and engineers achieve cleaner, more focused audio without the need for time-consuming manual editing or complex signal processing chains.

DeRoom integrates seamlessly into digital audio workstations, offering real-time processing that maintains the natural character of recordings while significantly reducing the impact of room acoustics. Its ability to handle diverse recording conditions makes it suitable for both studio and live applications, providing a practical solution for improving audio clarity and presence across different content types.