Calibrating geometric room acoustic models using a gradient descent algorithm

Bellows SD, Katz BFG. Calibrating geometric room acoustic models using a gradient descent algorithm. In: Express Paper. Audio Engineering Society; 2024. Paper 221. Available from: https://aes.org/publications/elibrary-page/?id=22567

@inproceedings{Bellows2024_22567,
  author = {Bellows, Samuel D. and Katz, Brian F. G.},
  title = {{Calibrating geometric room acoustic models using a gradient descent algorithm}},
  note = {Paper 221},
  year = {2024},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=22567}
}

TY  - CPAPER
TI  - Calibrating geometric room acoustic models using a gradient descent algorithm
AU  - Bellows, Samuel D.
AU  - Katz, Brian F. G.
M1  - Paper 221
PY  - 2024
DA  - 2024/06/06
UR  - https://aes.org/publications/elibrary-page/?id=22567
PB  - Audio Engineering Society
LA  - en
AB  - One aspect of obtaining realistic results in room acoustic simulations for virtual reality environments or room acoustic design is careful material property adjustments to achieve agreement between the simulation output and measured results. Nonetheless, calibrating geometric room acoustic simulations presents several challenges in selecting absorption and scattering coefficient values. This work aims to improve model calibration efforts by developing a gradient-descent algorithm that minimizes differences between simulated and measured results. The algorithm follows by taking the derivative of room acoustic metrics such as reverberation time or clarity with respect to the absorption coefficient values. The resultant gradient thus derives from a single deterministic ray-tracing result represented by a set of ray paths and a set of absorption coefficients values for each surface. This formulation consequently enables efficient computational realization in calibrating absorption coefficients. Incorporating scattering coefficient adjustments would require further repeated simulations, currently not optimized. A reverberation-time optimized initialization and inequality constraints help to maintain realistic absorption coefficient values. Application of the calibration algorithm to an abbey church demonstrates the robustness and efficiency of the method.
ER  -