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.

Authors: Weber, Philipp; Uhle, Christian; Hölscher, Sarah; Lang, Matthias; Bachmann, Thomas
Affiliations: Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany; International Audio Laboratories Erlangen, Erlangen, Germany(See document for exact affiliation information.)
AES Conference: 2022 AES International Conference on Automotive Audio (June 2022)
Paper Number: 6
Publication Date: June 8, 2022 Import into BibTeX
Subject: Automotive Audio
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=21807

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