Samples-Based Automatic Key Segment Extraction for Popular Song

ZHANG Yi-bin; ZHOU Jie; BIAN Zhao-qi

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Samples-Based Automatic Key Segment Extraction for Popular Song

更新时间：2025-07-16

- Samples-Based Automatic Key Segment Extraction for Popular Song
- Acta Electronica Sinica Vol. 34, Issue 2, Pages: 220-225(2006)
- 作者机构：
  
  清华大学自动化系,北京,100084
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391
- Published Online：25 February 2006，
  
  Published：2006
- 稿件说明：
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ZHANG Yi-bin, ZHOU Jie, BIAN Zhao-qi. Samples-Based Automatic Key Segment Extraction for Popular Song[J]. Acta Electronica Sinica, 2006, 34(2): 220-225.
DOI：

ZHANG Yi-bin, ZHOU Jie, BIAN Zhao-qi. Samples-Based Automatic Key Segment Extraction for Popular Song[J]. Acta Electronica Sinica, 2006, 34(2): 220-225. DOI：

摘要

流行歌曲的关键段为歌曲中最能打动人、给人印象最深刻的一个完整片段.将它分割出来可用于音乐试听和基于内容的音乐分类、检索、管理.通过对人工截取的样本进行分析

本文提出了一种流行歌曲关键段自动分割方法.实验结果表明

此方法可以比较准确和有效地分割出流行歌曲中的关键段.

Abstract

We define the key segment of a popular song as the most impressive part in this song.It can be regarded as a perfect index or summary for this song

therefore it is much helpful for popular song's audition and management.We propose an effective algorithm for automatic key segment extraction based on the analysis of positive and negative samples of key segment extracted manually from a training database.An experiment is carried on a test database including 130 popular songs.Compared with manually extraction of key segments

the proposed algorithm has a rather satisfying performance.

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