Music snippet extraction via melody-based repeated pattern discovery

Music snippet extraction via melody-based repeated pattern discovery
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通过基于旋律的重复模式发现提取音乐片段

DOI:
10.1007/s11432-009-0092-y
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发表时间:
2009-05
期刊:
中国科学F辑:信息科学(英文版)
影响因子:
--
通讯作者:
Chen Zhe
Chen Zhe
中科院分区:
其他
文献类型:
--
作者:
Liu ZiLi;Xu JiePing;Zhao Yang;Chen Zhe

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在本文中,我们提出了一套完整的程序来自动提取音乐片段,定义为最具代表性的或突出的摘录的音乐剪辑。我们首先生成一个修改后的和紧凑的相似性矩阵的基础上选择的功能和距离度量,然后利用几种改进的技术,音乐重复模式发现,因为音乐片段通常是重复的旋律,主旋律或合唱的一部分。在该过程中,冗余和错误检测的模式被丢弃,边界使用节拍信息进行校正,并且最终的聚类也根据出现频率和能量信息进一步排序。随后,按照我们的方法,我们设计了一个音乐片段提取系统,允许用户检测片段。在该系统上进行的实验表明,我们所提出的方法的优越性。
In this paper, we present a complete set of procedures to automatically extract a music snippet, defined as the most representative or the highlighted excerpt of a music clip. We first generate a modified and compact similarity matrix based on selected features and distance metrics, and then several improved techniques for music repeated pattern discovery are utilized because a music snippet is usually a part of the repeated melody, main theme or chorus. During the process, redundant and wrongly detected patterns are discarded, boundaries are corrected using beat information, and final clusters are also further sorted according to the occurrence frequency and energy information. Subsequently, following our methods, we designed a music snippet extraction system which allows users to detect snippets. Experiments performed on the system show the superiority of our proposed approach.
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期刊: --
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