Blind Arbitrary Reverb Matching
Reverb provides psychoacoustic cues that convey information concerning relative locations within an acoustical space. The need
arises often in audio production to impart an acoustic context on an
audio track that resembles a reference track. One tool for making
audio tracks appear to be recorded in the same space is by applying
reverb to a dry track that is similar to the reverb in a wet one. This
paper presents a model for the task of “reverb matching,” where
we attempt to automatically add artificial reverb to a track, making
it sound like it was recorded in the same space as a reference track.
We propose a model architecture for performing reverb matching
and provide subjective experimental results suggesting that the reverb matching model can perform as well as a human. We also
provide open source software for generating training data using an
arbitrary Virtual Studio Technology plug-in.