Bayesian Probabilistic Analysis of Sound Energy Decay Characteristics in Acoustically Coupled Rooms

Goggans PM, Kleiner M, Xiang N. Bayesian Probabilistic Analysis of Sound Energy Decay Characteristics in Acoustically Coupled Rooms. In: AES Convention 118. Audio Engineering Society; 2005. Paper 6393. Available from: https://aes.org/publications/elibrary-page/?id=13109

@inproceedings{Goggans2005_13109,
  author = {Goggans, Paul M. and Kleiner, Mendel and Xiang, Ning},
  title = {{Bayesian Probabilistic Analysis of Sound Energy Decay Characteristics in Acoustically Coupled Rooms}},
  booktitle = {AES Convention 118},
  note = {Paper 6393},
  year = {2005},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13109}
}

TY  - CPAPER
TI  - Bayesian Probabilistic Analysis of Sound Energy Decay Characteristics in Acoustically Coupled Rooms
AU  - Goggans, Paul M.
AU  - Kleiner, Mendel
AU  - Xiang, Ning
T2  - AES Convention 118
M1  - Paper 6393
PY  - 2005
DA  - 2005/05/06
UR  - https://aes.org/publications/elibrary-page/?id=13109
PB  - Audio Engineering Society
LA  - en
AB  - In recent years, acoustics of coupled spaces have received considerable attention in architectural acoustics. One of tasks in analyzing acoustics of coupled spaces is to evaluate different decay times from double-slope decay characteristics of Schroeder decay functions using measured room impulse responses. Traditionally however, identification of double- or multiple- sloped decay in room impulse response measurement has been considered very challenging. We apply Bayesian probabilistic analysis methods to cope with the demanding tasks in estimating multiple decay times from Schroeder decay functions. Using experimentally measured data in scale-down models and in real coupled spaces, this paper discusses determination of number of decay slopes and estimation of decay times within Bayesian framework. Implemented routines of Bayesian approaches will be demonstrated.
ER  -