P. Weber, C. Uhle, S. Hölscher, M. Lang, and T. Bachmann, “Automated Control of Reverberation Level Using a Perceptional Model,” in Proc. AES Conference: AES 2022 International Automotive Audio Conference, Jun. 2022, Paper 6. [Online]. Available: https://aes.org/publications/elibrary-page/?id=21807
Weber P, Uhle C, Hölscher S, Lang M, Bachmann T. Automated Control of Reverberation Level Using a Perceptional Model. In: AES Conference: AES 2022 International Automotive Audio Conference. Audio Engineering Society; 2022. Paper 6. Available from: https://aes.org/publications/elibrary-page/?id=21807
@inproceedings{Weber2022_21807,
author = {Weber, Philipp and Uhle, Christian and Hölscher, Sarah and Lang, Matthias and Bachmann, Thomas},
title = {{Automated Control of Reverberation Level Using a Perceptional Model}},
booktitle = {AES Conference: AES 2022 International Automotive Audio Conference},
note = {Paper 6},
year = {2022},
month = jun,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=21807}
}
TY - CPAPER
TI - Automated Control of Reverberation Level Using a Perceptional Model
AU - Weber, Philipp
AU - Uhle, Christian
AU - Hölscher, Sarah
AU - Lang, Matthias
AU - Bachmann, Thomas
T2 - AES Conference: AES 2022 International Automotive Audio Conference
M1 - Paper 6
PY - 2022
DA - 2022/06/06
UR - https://aes.org/publications/elibrary-page/?id=21807
PB - Audio Engineering Society
LA - en
AB - This paper describes a method for estimating the perceived intensity of reverberation in audio signals and control-ling the level of an arti?cial reverberation signal such that an arti?cially reverberated output signal has similar reverberation properties as the corresponding input signal. The estimation uses a linear regression model with sub-band Inter-channel Coherence and Spectral Flatness Measure as input features which is trained with listening test data. For the adaptation to the arti?cial reverberation control signals are computed based on temporal modulation properties and correlation between the input channel signals and applied to compute an equivalent reverberation level. The resulting quantity is post-processed using signal-adaptive integration. For the evaluation the proposed method has been applied to control the reverb send gain of arti?cial reverberation in a car.
ER -