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.
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 carded on a test database including 130 popular songs. Compared with manually extraction of key segments, the proposed algorithm has a rather satisfying performance.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2006年第2期220-225,共6页
Acta Electronica Sinica
基金
国家自然科学基金(No.60573060
60205002
60332010)
北京市自然科学基金(No.4042020)
关键词
数字娱乐
流行歌曲
音乐自动摘要
神经网络
digital entertainment
popular song
automatic music summary
neural network