基於音樂結構分析之高彈性音樂片段生成機制

隨著電腦運算能力進步，我們已經有能力對自己的數位音樂資料庫做整理、編輯、摘要等處理。然而我們能使用的工具仍然基於傳統的時間軸切割拼貼技術。在論文中我們提供一個自動化的程序，藉由分析音樂段落的方式，使音樂的結構視覺化，幫助人類理解，同時輔助編輯。亦可在不喪失聽覺連續性的情況下，生成歌曲的代表片段。產生的片段將由原曲中實際存在段落拼貼而成，且拼貼的邊界並不會有明顯的聽覺瑕疵。

關鍵字

音樂結構生成編輯

並列摘要

With the growth of computing power, we have become able to manage our own digital music database by means of manipulating, editing or summarizing. But on the other hand, the tools we use are still based on the traditional time-line cutting and pasting operations. In this thesis we provide an automatic procedure to analyze the segmentation of one given musical piece, and use it to visualize the musical structure, which is helpful in music understanding as well as editing. This procedure can also generate a representative clip, which is the rearrangement of certain segments in the original song with little audible defect to be spotted around the segment boundary.

並列關鍵字

music structure generate edit

參考文獻

[3] J. Foote, “Automatic audio segmentation using a measure of audio novelty”, Proc. IEEE Int. Conf. Multimedia and Expo, vol. I, 1999, pp.452–455.

[4] RB Dannenberg, N Hu, “Pattern Discovery Techniques for Music Audio”, Journal of New Music Research, 2003

[6] Simon Dixon, “Automatic Extraction of Tempo and Beat from Expressive Performances”, Journal of New Music Research, 30 (1), 2001, pp 39-58.

[7] Wei Chai, Barry Vercoe, “Music Thumbnailing via Structural Analysis”, ACM MM’03, November 2-8, 2003,

[9] Chen-Hsiu Huang, Chi-Hao Wu, Jin-Hau Kuo, and Ja-Ling Wu, "A Musical-driven Video Summarization System Using Content-aware Mechanisms," IEEE International Symposium on Circuits and Systems, 2005

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基於音樂結構分析之高彈性音樂片段生成機制

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