3 papers
eess.AS2024
3D Room Geometry Inference from Multichannel Room Impulse Response using Deep Neural Network
Inmo Yeon, Jung-Woo Choi
Room geometry inference (RGI) aims at estimating room shapes from measured room impulse responses (RIRs) and has received lots of attention for its importance in environment-aware…
cs.SD2023
EchoScan: Scanning Complex Room Geometries via Acoustic Echoes
Inmo Yeon, Iljoo Jeong, Seungchul Lee +1
Accurate estimation of indoor space geometries is vital for constructing precise digital twins, whose broad industrial applications include navigation in unfamiliar environments an…
eess.AS2023
RGI-Net: 3D Room Geometry Inference from Room Impulse Responses With Hidden First-Order Reflections
Inmo Yeon, Jung-Woo Choi
Room geometry is important prior information for implementing realistic 3D audio rendering. For this reason, various room geometry inference (RGI) methods have been developed by ut…