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dc.contributor.authorMurray, Leigh Daniel
dc.date.accessioned2022-09-08T22:00:07Z
dc.date.available2022-09-08T22:00:07Z
dc.date.issued2022
dc.identifier.citationMurray, Leigh Daniel. Investigating Low-Cost Platforms for Ultra-Low-Latency Audio Streaming in Networked Music Performances. Master thesis, University of Oslo, 2022
dc.identifier.urihttp://hdl.handle.net/10852/96343
dc.description.abstractThe use of Network Music Performance (NMP) technologies has grown considerably over the last three years, due largely to the mandatory social distancing and lockdown rules imposed during the COVID19 pandemic. While the development of software based NMP platforms is steadily progressing, the vast majority rely on general purpose operating systems which are not optimised for ultra-low-latency high quality audio. Additionally, the hardware requirements can easily result in NMP systems costing thousands of dollars. This thesis finds that low-cost platforms for ultra-low-latency audio streaming in Network Music Performances are not only possible but are capable of providing lower-latency audio at a higher quality than existing high end NMP platforms.eng
dc.language.isoeng
dc.subjectnetwork music performance
dc.subjecttelematic
dc.subjectmicrocontroller
dc.subjectjacktrip
dc.subjectLow latency
dc.subjectaudio streaming
dc.subjectLOLA
dc.titleInvestigating Low-Cost Platforms for Ultra-Low-Latency Audio Streaming in Networked Music Performanceseng
dc.typeMaster thesis
dc.date.updated2022-09-08T22:00:07Z
dc.creator.authorMurray, Leigh Daniel
dc.identifier.urnURN:NBN:no-98887
dc.type.documentMasteroppgave
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/96343/1/Thesis-Submission.pdf


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