Automatic Design of Feedback Delay Network Reverb Parameters for Impulse Response Matching

Coggin J, Pirkle W. Automatic Design of Feedback Delay Network Reverb Parameters for Impulse Response Matching. In: AES Convention 141. Audio Engineering Society; 2016. Paper 9666. Available from: https://aes.org/publications/elibrary-page/?id=18470

@inproceedings{Coggin2016_18470,
  author = {Coggin, Jay and Pirkle, Will},
  title = {{Automatic Design of Feedback Delay Network Reverb Parameters for Impulse Response Matching}},
  booktitle = {AES Convention 141},
  note = {Paper 9666},
  year = {2016},
  month = sep,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=18470}
}

TY  - CPAPER
TI  - Automatic Design of Feedback Delay Network Reverb Parameters for Impulse Response Matching
AU  - Coggin, Jay
AU  - Pirkle, Will
T2  - AES Convention 141
M1  - Paper 9666
PY  - 2016
DA  - 2016/09/06
UR  - https://aes.org/publications/elibrary-page/?id=18470
PB  - Audio Engineering Society
LA  - en
AB  - Traditional reverberation algorithms generally fall into two approaches: physical methods, which involve either convolving with room impulse responses (IRs) or modeling a physical space, and perceptual methods, which allow the use of practically any reverberation modules in various combinations to achieve a perceptually realistic reverberation sound. Perceptual reverberator algorithms are typically “hand tuned” where many of their parameters are found empirically. In this paper we present an automatic method of matching Feedback Delay Network parameters to real room impulse responses so that we may produce computationally efficient reverberation algorithms that perceptually match linear convolution with the target room IRs. Features are extracted from the target room IR and used to guide a Genetic Algorithm search to find the reverberator parameters.
ER  -