Music snippet extraction via melody-based repeated pattern discovery  

作　　者：XU JiePing ZHAO Yang CHEN Zhe LIU ZiLi 

机构地区：[1]School of Information, Renmin University of China, Beijing 100872, China

出　　处：《Science in China(Series F)》2009年第5期804-812,共9页中国科学（F辑英文版）

基　　金：Supported by the National Natural Science Foundation of China (Grant No. 60873098)

摘　　要：In this paper, we present a complete set of procedures to automatically extract a music snippet, defined as the most representative or the highlighted excerpt of a music clip. We first generate a modified and compact similarity matrix based on selected features and distance metrics, and then several improved techniques for music repeated pattern discovery are utilized because a music snippet is usually a part of the repeated melody, main theme or chorus. During the process, redundant and wrongly detected patterns are discarded, boundaries are corrected using beat information, and final clusters are also further sorted according to the occurrence frequency and energy information. Subsequently, following our methods, we designed a music snippet extraction system which allows users to detect snippets. Experiments performed on the system show the superiority of our proposed approach.In this paper, we present a complete set of procedures to automatically extract a music snippet, defined as the most representative or the highlighted excerpt of a music clip. We first generate a modified and compact similarity matrix based on selected features and distance metrics, and then several improved techniques for music repeated pattern discovery are utilized because a music snippet is usually a part of the repeated melody, main theme or chorus. During the process, redundant and wrongly detected patterns are discarded, boundaries are corrected using beat information, and final clusters are also further sorted according to the occurrence frequency and energy information. Subsequently, following our methods, we designed a music snippet extraction system which allows users to detect snippets. Experiments performed on the system show the superiority of our proposed approach.

关 键 词：music snippet music structure beat detection TEMPO 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] J60-05[自动化与计算机技术—计算机科学与技术]