What the Spatial Decomposition Method can and cannot do

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorMeyer-Kahlen, Nilsen_US
dc.contributor.authorAmengual, Sebastià V.en_US
dc.contributor.authorLokki, Tapioen_US
dc.contributor.departmentDepartment of Information and Communications Engineeringen
dc.contributor.groupauthorVirtual Acousticsen
dc.contributor.groupauthorLokki Tapio groupen
dc.date.accessioned2023-02-28T15:36:40Z
dc.date.available2023-02-28T15:36:40Z
dc.date.issued2022en_US
dc.description| openaire: EC/HE/812719/EU//VRACE
dc.description.abstractThe spatial decomposition method (SDM) is a parametric approach for the processing of spatial room impulse responses. Although extensively used, there are some issues related to used microphone array, reproduction loudspeaker setup, and signal processing that are not widely understood. For example, there have been different observations with regards to its performance with rendering extremely short transient signals, where some authors have described issues such as "roughness" or "graininess". Here, we wish to clarify what the limitations of the spatial decomposition method are and provide practical guidance to ensure the value of SDM as a tool for spatial room impulse response analysis and rendering in various contexts. Specifically, we discuss directional estimation performance, the ability to estimate two reflections at the time, estimation in the late tail of the response, and the roughness and whitening found in the quality of the final rendering. Finally, some post-processing techniques to compensate the possible audible artifacts are reviewed.en
dc.description.versionPeer revieweden
dc.format.extent8
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationMeyer-Kahlen, N, Amengual, S V & Lokki, T 2022, What the Spatial Decomposition Method can and cannot do. in ICA 2022 proceedings. Proceedings of the ICA congress, Acoustical Society of Korea (ASK), International Congress on Acoustics, Gyeongju, Korea, Republic of, 24/10/2022. < https://ica2022korea.org/data/Proceedings_A12.pdf >en
dc.identifier.issn2415-1599
dc.identifier.otherPURE UUID: 90721e44-1264-4630-a4f7-7768c9b493cben_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/90721e44-1264-4630-a4f7-7768c9b493cben_US
dc.identifier.otherPURE LINK: https://ica2022korea.org/data/Proceedings_A12.pdfen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/97527144/icanmk.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/119897
dc.identifier.urnURN:NBN:fi:aalto-202302282235
dc.language.isoenen
dc.relationinfo:eu-repo/grantAgreement/EC/HE/812719/EU//VRACEen_US
dc.relation.ispartofInternational Congress on Acousticsen
dc.relation.ispartofseriesICA 2022 proceedingsen
dc.relation.ispartofseriesProceedings of the ICA congressen
dc.rightsopenAccessen
dc.titleWhat the Spatial Decomposition Method can and cannot doen
dc.typeA4 Artikkeli konferenssijulkaisussafi
dc.type.versionacceptedVersion

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