This paper presents a method using physical scale models as echo chambers. The proposed framework creates a partitioned convolution engine where the convolution processing is carried out physically on an up-scaled live audio stream in the model. The resulting reverberated sound is captured and down-scaled, providing the result to the user in real-time. The scale factor can be dynamically changed to explore different room sizes and the reduced dimensions of the scale model make it a tangible reverberation tool. Scale factors up to 1:5 have been tested for full bandwidth, with higher factor possible with improved hardware or in exchange for lowering the upper frequency range, primarily due to driver performance.

Authors: Delcourt, Kevin; Zagala, Franck; Blum, Alan; Katz, Brian F. G.
Affiliations: École Nationale Supérieure Louis Lumière, Saint-Denis, France; Sorbonne Université, Paris, France(See document for exact affiliation information.)
AES Convention: 147 (October 2019) Paper Number: 10236
Publication Date: October 8, 2019
Subject: Room Acoustics

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