在垂直音樂混搭中之邊界調整與組織平衡權重及延長音偵測

Boundary Adjustment, Texture Balance Weighting and Sustain Detection in Vertical Mashups Generation

姚尊仁(Zun-Ren Yao)

指導教授 ： 吳家麟

國立臺灣大學/電機資訊學院/資訊工程學研究所/碩士(2015年)

https://doi.org/10.6342/NTU.2015.00398

摘要

本篇論文是針對音樂混搭(Mashup) 系統中，主奏音軌(lead track)邊界以及延長音(sustain) 等相關問題予以解決並提出混搭的改進方案。在邊界問題方面，考慮音軌的端點與邊界的調整，讓主奏音軌在切換時更加順暢。在延長音方面，我們提出了組織平衡權重(Texture Balance Weighting) 方法以便找到最適合的混搭結果。混搭改進方面，我們針對三種混搭應用，提出相對應的混搭方法，實驗證明改進後的結果在主觀評價上有不錯的成效。

關鍵字

創作性音樂檢索 ； 音樂混搭 ； 混搭度 ； 端點偵測 ； 延長音

並列摘要

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.

並列關鍵字

Creative MIR ； Music mashup ； Mashability ； Endpoint detect ； Sustain

參考文獻

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