Diffuse Field Modeling using Physically-Inspired Decorrelation Filters: Improvements to the Filter Design Method

Romblom D. Diffuse Field Modeling using Physically-Inspired Decorrelation Filters: Improvements to the Filter Design Method. J Audio Eng Soc. 2017;65(11):943-953. doi:10.17743/jaes.2017.0036

@article{Romblom2017_19362,
  author = {Romblom, David},
  title = {{Diffuse Field Modeling using Physically-Inspired Decorrelation Filters: Improvements to the Filter Design Method}},
  journal = {Journal of the Audio Engineering Society},
  volume = {65},
  number = {11},
  pages = {943--953},
  year = {2017},
  month = nov,
  publisher = {Audio Engineering Society},
  doi = {10.17743/jaes.2017.0036},
  url = {https://doi.org/10.17743/jaes.2017.0036}
}

TY  - JOUR
TI  - Diffuse Field Modeling using Physically-Inspired Decorrelation Filters: Improvements to the Filter Design Method
AU  - Romblom, David
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 65
IS  - 11
SP  - 943
EP  - 953
PY  - 2017
DA  - 2017/11/06
DO  - 10.17743/jaes.2017.0036
UR  - https://doi.org/10.17743/jaes.2017.0036
PB  - Audio Engineering Society
LA  - en
AB  - The objective of this research is to create an ensemble of decorrelation filters that, when combined with a specially treated B-Format Room Impulse Response (RIR), will approximate the expected measurements on a real array of outward-facing cardioid microphones in an acoustic diffuse field. This approach relies on the statistical description of reverberation, in particular the autocorrelation with respect to frequency and space. The contributions of this paper allow systematic filter design, the creation of arbitrary angular spacing for three-dimensional loudspeaker arrays, and a simple binaural adaption. It is hoped that DFM will become a complement to existing techniques and assist in the creation of virtual acoustic scenarios that are perceptually indistinguishable from acoustic reality.
ER  -