Perceptually-Informed Features for Room Reverberation Modeling and Prediction

Kawczinski K, Abel JS. Perceptually-Informed Features for Room Reverberation Modeling and Prediction. In: AES Convention 149. Audio Engineering Society; 2020. Paper 10446. Available from: https://aes.org/publications/elibrary-page/?id=20983

@inproceedings{Kawczinski2020_20983,
  author = {Kawczinski, Kimberly and Abel, Jonathan S.},
  title = {{Perceptually-Informed Features for Room Reverberation Modeling and Prediction}},
  booktitle = {AES Convention 149},
  note = {Paper 10446},
  year = {2020},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=20983}
}

TY  - CPAPER
TI  - Perceptually-Informed Features for Room Reverberation Modeling and Prediction
AU  - Kawczinski, Kimberly
AU  - Abel, Jonathan S.
T2  - AES Convention 149
M1  - Paper 10446
PY  - 2020
DA  - 2020/10/06
UR  - https://aes.org/publications/elibrary-page/?id=20983
PB  - Audio Engineering Society
LA  - en
AB  - A room reverberation model based on normalized echo density and bandwise energy decay is presented. The model produces psychoacoustically transparent and statistically independent impulse response copies by sampling the parameters at various rates. These parameters are further considered as a feature set for prediction within an acoustic space and tested using a standard data set with three measured spaces. The numerical error introduced in the prediction procedure is evaluated, revealing space-dependent trends.
ER  -