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.