Matching Artificial Reverb Settings to Unknown Room Recordings: A Recommendation System for Reverb Plugins

TitleMatching Artificial Reverb Settings to Unknown Room Recordings: A Recommendation System for Reverb Plugins
Publication TypeConference Paper
Year of Publication2012
AuthorsPeters, N., Lei H., & Choi J.
Other Numbers3319
Abstract

For creating artificial room impressions, numerous reverb plugins exist, and are often controllableby manyparameters. To efficiently create a desired room impression, the sound engineer must be familiarwith all the available reverb setting possibilities. Although plugins are usually equipped withmany factory presets for exploring available reverb options, it is a time-consuming learningprocess to find the ideal reverb settings to create the desired room impression, especially ifvarious reverberation plugins are available. For creating a desired room impression based on areference audio sample, we present a method to automatically determine the best matching reverbpreset across different reverb plugins. Our method uses a supervised machine-learning approach andcan dramatically reduce the time spent on the reverb selection process.

Acknowledgment

This work was partially funded by the Deutscher Akademischer Austausch Diesnst (DAAD) through a postdoctoral fellowship.

URLhttp://www.icsi.berkeley.edu/pubs/other/artificialreverb12.pdf
Bibliographic Notes

Proceedings of the 133th Audio Engineering Society (AES) Convention, San Francisco, California

Abbreviated Authors

N. Peters, H. Lei, and J. Choi

ICSI Research Group

Audio and Multimedia

ICSI Publication Type

Article in conference proceedings