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Convention Paper Open Access

An Artificial Reverberator Informed by Room Geometry and Visual Appearance

Authors: Molyneux, Ruari; Reiss, Joshua

Convention Paper · Paper 10218 · May 2025

Abstract

Without relying on audio data as a reference, artificial reverberation models often struggle to accurately simulate
the acoustics of real rooms. To address this, we propose a hybrid reverberator derived from a rooms physical
properties. Room geometry is extracted via Light Detection and Ranging mapping, enabling the calculation of
acoustic reflection paths via the Image Source Method. Frequency-dependent absorption is found by classifying
room surface materials with a multi-modal Large Language Model and referencing a database of absorption
coefficients. The extracted information is used to parametrise a hybrid reverberator, divided into two components:
early reflections, using a tapped delay line, and late reverberation, using a Scattering Feedback Delay Network.
Our listening test results show that participants often rate the proposed system as the most natural simulation of a
small hallway room. Additionally, we compare the reverberation metrics of the hybrid reverberator and similar
state-of-the-art models to those of the small hallway.

Details

AES Convention
158
Paper number
10218
Publication date
May 12, 2025
Affiliation
Queen Mary University of London (See document for exact affiliation information.)
Type
Convention Paper