A Semantics-Driven Approach to Lyrics Segmentation

被引：5

作者：

Barate, Adriano ^{[1
]}

Ludovico, Luca A. ^{[1
]}

Santucci, Enrica ^{[1
]}

机构：

[1] Univ Milan, LIM, I-20135 Milan, Italy

来源：

2013 8TH INTERNATIONAL WORKSHOP ON SEMANTIC AND SOCIAL MEDIA ADAPTATION AND PERSONALIZATION (SMAP 2013) | 2013年

关键词：

D O I：

10.1109/SMAP.2013.15

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The purpose of this paper is describing a semantics-driven approach to the automatic segmentation of song lyrics. The proposed algorithm takes into account the basic formatting commonly in use for lyrics on CD booklets and specialized Web sites, in order to extract basic semantic information, such as the organization in lines and sections. Then the algorithm applies simple rules to reconstruct lyrics structure, supporting tolerance margins as regards possible errors and encoding variants. The output is a sequence of sections labelled according to the similarity of their contents. The resulting segmenter is publicly available as a set of methods exposed via a Web application programming interface (API).

引用

页码：73 / 79

页数：7

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