Generic Music Identification by Hierarchic Modeling of Human Perception

F. Seifert, M. Rentzsch
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Abstract

To date, there are no systems that can identify music, neither audio nor midi, in a generic way. That is, for the countless possible occurrences of a certain song, it should be possible to associate them with only one generic description of that song. In this paper we describe a conceptual design for generic music identification. Therefore, we propose a hierarchy of elementary music descriptions and introduce the concept of generic perceptual musical patterns. To prove the designed model, it is implemented for symbolic music files.
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基于人类感知层次模型的通用音乐识别
到目前为止,还没有系统能够以通用的方式识别音乐,无论是音频还是midi。也就是说,对于某首歌的无数可能出现,应该可以将它们与这首歌的一个通用描述联系起来。在本文中,我们描述了一个通用音乐识别的概念设计。因此,我们提出了一个初级音乐描述的层次结构,并引入了一般感知音乐模式的概念。为了验证所设计的模型,对符号音乐文件进行了实现。
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