A Low-Dimensional Projection of Sound Absorption Coefficients for a Scattering Delay Network Reverberator
Year: 2026
Type: article
Abstract: Scattering delay networks (SDNs), a class of artificial reverberators with physically interpretable parameters, provide an efficient synthesis of room acoustics accounting for wall absorption properties. This paper builds upon a previously proposed highly parametrized and real-time implementation of an SDN, exposing octave-band absorption coefficients for each room wall. The individual manipulation of these coefficients can be challenging due to their high dimensionality. A 2D parameter space (2PS) is proposed to facilitate the navigation of the absorption coefficients. The 2PS is obtained using principal component analysis as an initial dimensionality reduction of a dataset of absorption coefficients, followed by a relaxation procedure to create a seamless 2D representation of the coefficients. A twofold evaluation of the proposed 2PS was conducted: (a) the 2PS was compared to the original space and the raw principal component analysis in a reverb matching task for the tuning of SDN coefficients, and (b) a usability test with expert audio professionals supported the potential of the 2PS from a user standpoint.
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7147440360
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