| 基于样本的流行歌曲关键段分割方法 |
| |
| 引用本文： | 张一彬,周杰,边肇祺.基于样本的流行歌曲关键段分割方法[J].电子学报,2006,34(2):220-225. |
| |
| 作者姓名： | 张一彬 周杰 边肇祺 |
| |
| 作者单位： | 清华大学自动化系,北京 100084 |
| |
| 基金项目： | 中国科学院资助项目，北京市自然科学基金 |
| |
| 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.
|
| 关 键 词： | 数字娱乐 流行歌曲 音乐自动摘要 神经网络 |
| 文章编号： | 0372-2112（2006）02-0220-06 |
| 收稿时间： | 2004-11-30 |
| 修稿时间： | 2004-11-302005-09-15 |
Samples-Based Automatic Key Segment Extraction for Popular Song |
| |
| 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. |
| |
| Authors: | ZHANG Yi-bin ZHOU Jie BIAN Zhao-qi |
| |
| Affiliation: | Department of Automation,Tsinghua University,Beijing 100084 China |
| |
| 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. |
| |
| Keywords: | digital entertainment popular song automatic music summary neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《电子学报》浏览原始摘要信息 |
|
点击此处可从《电子学报》下载全文 |
