基于内容的乐谱索引

Richard A. Medina, L. A. Smith, Deborah R. Wagner
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引用次数: 12

摘要

我们描述了一种自动创建基于内容的乐谱索引的方法。目标是捕捉音乐中出现的主题或主题。通过从古典音乐文献中建立25个管弦乐乐章的索引来测试这种方法。对于每一个乐章,系统都抓住了主要主题,或者主要主题的一个变体。此外,它还捕获了28个次要主题中的13个。得到的索引是数据库大小的14%。进一步降低2%是可能的;然而,这就抛弃了次要主题。一项使用五个管弦乐乐章的听力实验表明,人们在听完一段音乐后可以可靠地识别出次要主题——因此,在乐谱索引中保留次要主题可能是必要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Content-based indexing of musical scores
We describe a method of automatically creating a content-based index of musical scores. The goal is to capture the themes, or motifs, that appear in the music. The method was tested by building an index of 25 orchestral movements from the classical music literature. For every movement, the system captured the primary theme, or a variation of the primary theme. In addition, it captured 13 of 28 secondary themes. The resulting index was 14% of the size of the database. A further reduction of 2% is possible; however, this discards secondary themes. A listening experiment using five orchestral movements showed that people can reliably recognize secondary themes after listening to a piece of music-therefore, it may be necessary to retain secondary themes in a score index.
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