A Large-Scale Evaluation of Acoustic and Subjective Music- Similarity Measures
A Large-Scale Evaluation of Acoustic and Subjective Music-Similarity Measures一个大规模的评价声学和主观音乐相似措施
A valuable goal in the Ž eld of Music Information Retrieval (MIR) is to devise an automatic measure of the similarity between two musical recordings based only on an analysis of their audio content. Such a tool—a quantitative measure of similarity—can be used to build classiŽ cation, retrieval, browsing, and recommendation systems. To develop such a measure, however, resupposes some ground truth, a single underlying similarity that constitutes the desired output of the measure. Music similarity is an elusive concept—wholly subjective, multifaceted, and a moving target—but one that must be pursued in support of applications to provide automatic organization of large music collections.
音乐信息检索领域(MIR)的一个有价值的目标是设计一种仅基于音频内容分析的两段音乐录音之间相似性的自动度量。这种量化相似性度量的工具可用于建立分类、检索、浏览和推荐系统。然而，要开发这样一种度量，需要重新假设一些基本事实，一个单独的潜在相似性构成度量的期望输出。音乐相似性是一个难以捉摸的概念，它完全是主观的、多方面的，而且是一个不断变化的目标，但必须支持应用程序来提供大型音乐收藏的自动组织。
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