Algorithmic Spatialization Using Object-Based Audio and Indoor Positioning System.
The author presents a novel compositional framework to guide designing interplay between moving listeners and sound objects in space. Demonstrated by a case study of interactive octophonic installation, the presented framework offers new ways to articulate and analyze artistic interplay using real-w...
| Publicado en: | Leonardo Music Journal Vol. 29; pp. 25 - 31 |
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| Autor principal: | |
| Formato: | Artículo |
| Publicado: |
MIT Press
Dec2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=140291937&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 140291937 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 09611215 1F1 jtl: Leonardo Music Journal issn: 09611215 maglogo: N pubinfo: dt: Dec2019 vid: 29 pid: 776 pub: MIT Press artinfo: ui: 140291937 10.1162/lmj_a_01058 ppf: 25 ppct: 6 formats: fmt: @attributes: type: P size: 4.3MB tig: atl: Algorithmic Spatialization Using Object-Based Audio and Indoor Positioning System. aug: au: Fan, Yuan-Yi affil: Yuan-Yi Fan (artist, researcher). su: Indoor positioning systems sug: subj: Indoor positioning systems ab: The author presents a novel compositional framework to guide designing interplay between moving listeners and sound objects in space. Demonstrated by a case study of interactive octophonic installation, the presented framework offers new ways to articulate and analyze artistic interplay using real-world location context as a spatial composition canvas. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Leonardo Music Journal is the property of MIT Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Leonardo Music Journal holder: MIT Press dt: @attributes: year: 2019 holdings: @attributes: islocal: N |
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