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Thesis 1

THESIS DETAILS
Thesis Title: Song form intelligence for repairing streaming music across wireless bursty networks
Degree Type: PhD
Degree Specialism: Music Technology
Thesis Status: Accepted
Date Submitted / Accepted: 2010
Institution Submitting / Submitted To: University of Ulster
No. of Volumes (no. of pages): 1 (85pp.)
Thesis Location / Link: www.paulmckevitt.com/pubs/sofiaics05.pdf
THESIS CONTENT
Abstract: Preliminary research on the development of a system for streaming
audio across a wireless network, whilst using Song Form Intelligence (SoFI) to
correct bursty errors, is presented. Current problems identified with streaming
audio across wireless networks are reviewed. Recent approaches on error
concealment when bursty errors occur, and Music Information Retrieval are
discussed. We propose an approach that uses an amalgamation of network
approaches and music information retrieval techniques to solve streaming
music problems. Initial findings indicate that this approach will benefit such
problems.

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