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旋律相似性的概率方法

A Probabilistic Approach to Melodic Similarity
课程网址: http://videolectures.net/ecmlpkdd09_inesta_pams/  
主讲教师: Jose M. Iñesta
开课单位: 阿利坎特大学
开课时间: 2009-10-20
课程语种: 英语
中文简介:
旋律相似度是音乐信息检索中的一个重要研究课题。通过树的表示符号音乐已被证明适用于旋律相似度计算,因为它们能够在其结构中编码节奏,仅将音高表示作为编码的自由度。为了比较树,先前已经使用了不同的编辑距离。在本文中,以前用于其他领域的随机k可测试树模型(如结构化文档压缩或自然语言处理)已用于计算旋律树之间的相似性度量作为概率,并且它们的性能已经与经典的树状距离进行比较。
课程简介: Melodic similarity is an important research topic in music information retrieval. The representation of symbolic music by means of trees has proven to be suitable in melodic similarity computation, because they are able to code rhythm in their structure leaving only pitch representations as a degree of freedom for coding. In order to compare trees, different edit distances have been previously used. In this paper, stochastic k-testable tree-models, formerly used in other domains like structured document compression or natural language processing, have been used for computing a similarity measure between melody trees as a probability and their performance has been compared to a classical tree edit distance.
关 键 词: 旋律相似度; 编码节奏; 树状距离
课程来源: 视频讲座网
最后编审: 2019-03-24:cwx
阅读次数: 65