Automated extraction of music snippets
Automated extraction of music snippets
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DOI：
10.1145/957013.957043
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发表时间：
2003-11
期刊：
影响因子：
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通讯作者：
Lie Lu;HongJiang Zhang
中科院分区：
文献类型：
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作者：
Lie Lu;HongJiang Zhang
与图像和视频缩略图类似，音乐片段被定义为音乐剪辑中最具代表性或最突出的摘录，并且可以有效地用于快速浏览大量音乐文件。音乐片段通常是重复的旋律、主旋律或合唱的一部分。在本文中，我们提出了一种方法来自动提取音乐片段。在我们的方法中，最显着的音乐段首先检测其出现频率和能量信息的基础上。同时，音乐短语的边界也检测的基础上估计的每帧的短语长度和短语边界的信心。这些边界用于确保提取的片段不会破坏音乐短语。最后，包含最显著片段的音乐短语被提取为音乐片段。用户研究表明，该算法在我们的音乐数据库上运行良好。
Similar to image and video thumbnail, music snippet is defined as the most representative or highlight excerpt of a music clip, and can be used efficiently for fast browsing large number of music files. Music snippet is usually a part of the repeated melody, main theme or chorus. In this paper, we present an approach to extracting music snippet automatically. In our approach, the most salient segment of the music is firstly detected based on its occurrence frequency and energy information. Meanwhile, the boundaries of musical phrases are also detected based on the estimated phrase length and phrase boundary confidence of each frame. These boundaries are used to ensure that an extracted snippet does not break musical phrases. Finally, the musical phrases including the most salient segment are extracted as music snippet. User study indicates that the proposed algorithm works very well on our music database.