Room Geometry Inference Using Localization of the Sound Source and Its Early Reflections

Wu D, Wu X, Qu T. Room Geometry Inference Using Localization of the Sound Source and Its Early Reflections. In: Convention Paper. Audio Engineering Society; 2025.pp. 10215:1-11. Available from: https://aes.org/publications/elibrary-page/?id=22851

@inproceedings{Wu2025_22851,
  author = {Wu, Donghang and Wu, Xihong and Qu, Tianshu},
  title = {{Room Geometry Inference Using Localization of the Sound Source and Its Early Reflections}},
  pages = {10215:1-11},
  url = {https://aes.org/publications/elibrary-page/?id=22851},
  year = {2025},
  month = may,
  publisher = {Audio Engineering Society}
}

TY  - CPAPER
TI  - Room Geometry Inference Using Localization of the Sound Source and Its Early Reflections
AU  - Wu, Donghang
AU  - Wu, Xihong
AU  - Qu, Tianshu
SP  - 1
EP  - 11
M1  - Paper 10215
PY  - 2025
DA  - 2025/05/12
UR  - https://aes.org/publications/elibrary-page/?id=22851
PB  - Audio Engineering Society
LA  - en
AB  - Traditional methods for inferring room geometry from sound signals are predominantly based on Room Impulse Response (RIR) or prior knowledge of the sound source location. This significantly restricts the applicability of these approaches. This paper presents a method for estimating room geometry based on the localization of direct sound source and its early reflections from First-Order Ambisonics (FOA) signals without the prior knowledge of the environment. First, this method simultaneously estimates the Direction of Arrival (DOA) of the direct source and the detected first-order reflected sources. Then, a Cross-attention-based network for implicitly extracting the features related to Time Difference of Arrival (TDOA) between the direct source source and the first-order reflected sources is proposed to estimate the distances of the direct and the first-order reflected sources. Finally, the room geometry is inferred from the localization results of the direct and the first-order reflected sources. The effectiveness of the proposed method was validated through simulation experiments. The experimental results demonstrate that the method proposed achieves accurate localization results and performs well in inference of room geometry.
ER  -