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08 June 2022
Journal Article
Titel
Automated Control of Reverberation Level Using a Perceptional Model
Abstract
This paper describes a method for estimating the perceived intensity of reverberation in audio signals and controlling the level of an artificial reverberation signal such that an artificially 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 artificial 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 artificial reverberation in a car.
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