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    Dynamic diffuse signal processing for low-frequency spatial variance minimization across wide audience areas.

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    Authors
    Moore, Jonathan B.
    Hill, Adam J.
    Affiliation
    University of Derby
    Issue Date
    2017-10-08
    
    Metadata
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    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.
    Citation
    Moore, J.B.; A.J. Hill. Dynamic diffuse signal processing for low-frequency spatial variance minimization across wide audience areas. 143rd Convention of the Audio Engineering Society, New York, USA. October, 2017.
    Publisher
    Audio Engineering Society
    Journal
    Journal of the Audio Engineering Society
    URI
    http://hdl.handle.net/10545/622147
    Additional Links
    http://www.aes.org/e-lib/browse.cfm?elib=19300
    Type
    Meetings and Proceedings
    Language
    en
    ISSN
    15494950
    Collections
    Department of Electronics, Computing & Maths

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