AES E-Library

J. Moore, and AD. J.. Hill, "Dynamic Diffuse Signal Processing for Low-Frequency Spatial Variance Minimization across Wide Audience Areas," Paper 9903, (2017 October.). doi: J. Moore, and AD. J.. Hill, "Dynamic Diffuse Signal Processing for Low-Frequency Spatial Variance Minimization across Wide Audience Areas," Paper 9903, (2017 October.). doi:
Abstract: Diffuse signal processing (DiSP) is a method of decorrelating coherent audio signals that is applicable to various components of sound reinforcement systems. Previous tests have indicated that DiSP can successfully decorrelate multiple low-frequency sources, leading to the reduction of comb filtering effects. However, results also show that performance is variable with source material and that effectiveness is reduced in closed acoustic spaces. In this work a dynamic variant of DiSP is examined where the decorrelation algorithm varies over time. The effectiveness of the processing is analyzed and compared to static DiSP and unprocessed systems. Results show that dynamic DiSP provides superior low-frequency spatial variance reduction to static DiSP due to improved decorrelation between direct sounds and early reflections.

@article{moore2017dynamic,
author={moore, jonathan and hill, adam j.},
journal={journal of the audio engineering society},
title={dynamic diffuse signal processing for low-frequency spatial variance minimization across wide audience areas},
year={2017},
volume={},
number={},
pages={},
doi={},
month={october},} @article{moore2017dynamic,
author={moore, jonathan and hill, adam j.},
journal={journal of the audio engineering society},
title={dynamic diffuse signal processing for low-frequency spatial variance minimization across wide audience areas},
year={2017},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={diffuse signal processing (disp) is a method of decorrelating coherent audio signals that is applicable to various components of sound reinforcement systems. previous tests have indicated that disp can successfully decorrelate multiple low-frequency sources, leading to the reduction of comb filtering effects. however, results also show that performance is variable with source material and that effectiveness is reduced in closed acoustic spaces. in this work a dynamic variant of disp is examined where the decorrelation algorithm varies over time. the effectiveness of the processing is analyzed and compared to static disp and unprocessed systems. results show that dynamic disp provides superior low-frequency spatial variance reduction to static disp due to improved decorrelation between direct sounds and early reflections.},}

TY - paper
TI - Dynamic Diffuse Signal Processing for Low-Frequency Spatial Variance Minimization across Wide Audience Areas
SP - EP -
AU - Moore, Jonathan
AU - Hill, Adam J.
PY - 2017
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2017 TY - paper
TI - Dynamic Diffuse Signal Processing for Low-Frequency Spatial Variance Minimization across Wide Audience Areas
SP - EP -
AU - Moore, Jonathan
AU - Hill, Adam J.
PY - 2017
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2017
AB - Diffuse signal processing (DiSP) is a method of decorrelating coherent audio signals that is applicable to various components of sound reinforcement systems. Previous tests have indicated that DiSP can successfully decorrelate multiple low-frequency sources, leading to the reduction of comb filtering effects. However, results also show that performance is variable with source material and that effectiveness is reduced in closed acoustic spaces. In this work a dynamic variant of DiSP is examined where the decorrelation algorithm varies over time. The effectiveness of the processing is analyzed and compared to static DiSP and unprocessed systems. Results show that dynamic DiSP provides superior low-frequency spatial variance reduction to static DiSP due to improved decorrelation between direct sounds and early reflections.