Reverberation Modeled as a Random Ensemble of Images

McGovern S. Reverberation Modeled as a Random Ensemble of Images. In: AES Convention 145. Audio Engineering Society; 2018.pp. 10072:1-. Available from: https://aes.org/publications/elibrary-page/?id=19798

@inproceedings{McGovern2018_19798,
  author = {McGovern, Stephen},
  title = {{Reverberation Modeled as a Random Ensemble of Images}},
  booktitle = {AES Convention 145},
  pages = {10072:1-},
  year = {2018},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=19798}
}

TY  - CPAPER
TI  - Reverberation Modeled as a Random Ensemble of Images
AU  - McGovern, Stephen
T2  - AES Convention 145
SP  - 1
M1  - Paper 10072
PY  - 2018
DA  - 2018/10/06
UR  - https://aes.org/publications/elibrary-page/?id=19798
PB  - Audio Engineering Society
LA  - en
AB  - Modeling box-shaped rooms with the image method requires many mathematical operations. The resulting reverberation effect is qualitatively flawed due to sweeping echoes and flutter. Efficiency is improved with the Fast Image Method, and sweeping echoes can be suppressed by using randomization. With both approaches, however, there is still a remaining problem with flutter. To address all of these issues, the Fast Image Method is modified to have both randomized image locations and increased symmetry. Additional optimizations are proposed and applied to the algorithm. The resulting audio effect has improved quality, and the computation time is dramatically reduced (by a factor usually exceeding 200) when compared to its ancestral Allen and Berkley algorithm. Some relevant perceptual considerations are also discussed.
ER  -