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dc.contributor.authorMoore, Jonathan B.
dc.contributor.authorHill, Adam J.
dc.date.accessioned2018-02-16T14:30:51Z
dc.date.available2018-02-16T14:30:51Z
dc.date.issued2017-10-08
dc.identifier.citationMoore, 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.en
dc.identifier.issn15494950
dc.identifier.urihttp://hdl.handle.net/10545/622147
dc.description.abstractDiffuse 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.
dc.description.sponsorshipN/Aen
dc.language.isoenen
dc.publisherAudio Engineering Societyen
dc.relation.urlhttp://www.aes.org/e-lib/browse.cfm?elib=19300en
dc.subjectDecorrelationen
dc.subjectAudio engineeringen
dc.subjectLive sounden
dc.subjectSignal processingen
dc.subjectPsychoacousticsen
dc.subjectAcousticsen
dc.titleDynamic diffuse signal processing for low-frequency spatial variance minimization across wide audience areas.en
dc.typeMeetings and Proceedingsen
dc.contributor.departmentUniversity of Derbyen
dc.identifier.journalJournal of the Audio Engineering Societyen
html.description.abstractDiffuse 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.


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