一种新型的音乐信息检索索引方法及其应用

New indexing method for content-based music information retrieval and its application

提出一种新型的音乐信息检索索引方法,并将其应用于哼唱检索系统上,获得可喜的成果。该方法根据音乐旋律的特点,使用音高和音长描述一段乐曲。考虑到各种音乐输入方式存在的音高不一致性和节奏伸缩性,系统根据乐曲旋律特征的总体变化,将平均音高差和平均音长变化百分比作为关键字建立M树索引结构。由于各类输入旋律常常存在误差,本文定义一定的搜索半径,查找半径范围内与输入的音乐片断最相似的音乐文件。实验结果表明,该结构可以使系统提高60%以上的检索速度,并且搜索结果的正确率最高仍然可达80%。

A new indexing method for content-based music information retrieval is presented,and it is implemented on a Query By Humming （QBH） system.The method makes use of pitch and rhythm to describe a piece of melody.Considering the in-coordination of pitch and inaccuracy of rhythm information during melody input,average pitch difference and average duration percentage difference are counted as M-tree indexing keys.Since many errors occur during inputting,a searching radius is dynamically defined for each query.Experiments show that the indexing structure saves searching time of original QBH system by approximately 60% for long query.At the same time,the success rate of matching still remains at about 80%.