Minimally Simple Binaural Room Modeling Using a Single Feedback Delay Network

Agus N, Anderson H, Chen JM, Lui S, Herremans D. Minimally Simple Binaural Room Modeling Using a Single Feedback Delay Network. J Audio Eng Soc. 2018;66(10):791-807. doi:10.17743/jaes.2018.0045

@article{Agus2018_19862,
  author = {Agus, Natalie and Anderson, Hans and Chen, Jer-Ming and Lui, Simon and Herremans, Dorien},
  title = {{Minimally Simple Binaural Room Modeling Using a Single Feedback Delay Network}},
  journal = {Journal of the Audio Engineering Society},
  volume = {66},
  number = {10},
  pages = {791--807},
  year = {2018},
  month = oct,
  publisher = {Audio Engineering Society},
  doi = {10.17743/jaes.2018.0045},
  url = {https://doi.org/10.17743/jaes.2018.0045}
}

TY  - JOUR
TI  - Minimally Simple Binaural Room Modeling Using a Single Feedback Delay Network
AU  - Agus, Natalie
AU  - Anderson, Hans
AU  - Chen, Jer-Ming
AU  - Lui, Simon
AU  - Herremans, Dorien
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 66
IS  - 10
SP  - 791
EP  - 807
PY  - 2018
DA  - 2018/10/06
DO  - 10.17743/jaes.2018.0045
UR  - https://doi.org/10.17743/jaes.2018.0045
PB  - Audio Engineering Society
LA  - en
AB  - The widespread adoption of acoustic modeling in such applications as 3D gaming and virtual reality simulation are generally hindered by the complexity of the implementation. The most efficient binaural acoustic modeling systems use a multi-tap delay to generate early reflections, which are then combined with a feedback delay network to produce generic late reverberation. This report presents a method of binaural acoustic simulation that uses one feedback delay network to simultaneously model both first-order reflections and late reverberation. The advantages are simplicity and efficiency. The proposed method is compared to existing methods for modeling binaural early reflections using a multi-tap delay line. Measurements of ISO standard evaluators including interaural correlation coefficient, decay time, clarity, definition, and center time indicate that the proposed method achieves a comparable accuracy to less efficient methods. The proposed method is implemented as an iOS application, and is able to auralize input signal directly without convolution and update in real time. This significantly reduces the computational time because it does not need to produce an impulse response after every parameter update.
ER  -