D. Moffat and M. Sandler, “An Automated Approach to the Application of Reverberation,” in Proc. AES Convention 147, Oct. 2019, Paper 10264. [Online]. Available: https://aes.org/publications/elibrary-page/?id=20637
Moffat D, Sandler M. An Automated Approach to the Application of Reverberation. In: AES Convention 147. Audio Engineering Society; 2019. Paper 10264. Available from: https://aes.org/publications/elibrary-page/?id=20637
@inproceedings{Moffat2019_20637,
author = {Moffat, Dave and Sandler, Mark},
title = {{An Automated Approach to the Application of Reverberation}},
booktitle = {AES Convention 147},
note = {Paper 10264},
year = {2019},
month = oct,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=20637}
}
TY - CPAPER
TI - An Automated Approach to the Application of Reverberation
AU - Moffat, Dave
AU - Sandler, Mark
T2 - AES Convention 147
M1 - Paper 10264
PY - 2019
DA - 2019/10/06
UR - https://aes.org/publications/elibrary-page/?id=20637
PB - Audio Engineering Society
LA - en
AB - The field of intelligent music production has been growing over recent years. There have been several different approaches to automated reverberation. In this paper we automate the parameters of an algorithmic reverb based on analysis of the input signals. Literature is used to produce a set of rules for the application of reverberation, and these rules are then represented directly as direct audio feature. This audio feature representation is then used to control the reverberation parameters from the audio signal in real time.
ER -