Dynamic diffuse signal processing for low-frequency spatial variance minimization across wide audience areas.
Conference item
Moore, Jonathan B. and Hill, Adam J. 2017. Dynamic diffuse signal processing for low-frequency spatial variance minimization across wide audience areas. Audio Engineering Society.
| Authors | Moore, Jonathan B. and Hill, Adam J. |
|---|---|
| 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. |
| Keywords | Decorrelation; Audio engineering; Live sound; Signal processing; Psychoacoustics; Acoustics |
| Year | 2017 |
| Journal | Journal of the Audio Engineering Society |
| Publisher | Audio Engineering Society |
| ISSN | 15494950 |
| Web address (URL) | http://hdl.handle.net/10545/622147 |
| hdl:10545/622147 | |
| File | File Access Level Open |
| Publication dates | 08 Oct 2017 |
| Publication process dates | |
| Deposited | 16 Feb 2018, 14:30 |
| Contributors | University of Derby |
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