Data-Driven Room Acoustic Modeling Via Differentiable Feedback Delay Networks With Learnable Delay Lines

arXiv:2404.00082v1 Announce Type: cross
Abstract: Over the past few decades, extensive research has been devoted to the design of artificial reverberation algorithms aimed at emulating the room acoustics of physical environments. Despite significant advancements, automatic parameter tuning of delay-network models remains an open challenge. We introduce a novel method for finding the parameters of a Feedback Delay Network (FDN) such that its output renders the perceptual qualities of a measured room impulse response. The proposed approach involves the implementation of …

abstract acoustic modeling acoustics algorithms artificial arxiv challenge cs.lg cs.sd data data-driven delay design differentiable eess.as environments feedback modeling network networks research reverberation room type via