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.
(See document for exact affiliation information.)
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