Boundary Adjustment, Texture Balance Weighting and Sustain Detection in Vertical Mashups Generation
Date Issued
2015
Date
2015
Author(s)
Yao, Zun-Ren
Abstract
This paper, focus on solving problems in lead track’s boundary and sustain in music mashup systems and proposed improvement method to mashup. On the boundary problem side, ”End Point” is considered to adjust boundaries to make sure switching between two lead tracks is smoothly. On the sustain problem side, we proposed ”Texture Balance Weighting” to find suitable match. On the mashup improvement side, three mashup applications are considered. By taking the respectly method, the improvement in user satisfation is statistically significant.
Subjects
Creative MIR
Music mashup
Mashability
Endpoint detect
Sustain
Type
thesis
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ntu-104-R02922111-1.pdf
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