On the evaluation of perceptual similarity measures for music

被引：0
|
作者：
Pampalk, E [1 ]
Dixon, S [1 ]
Widmer, G [1 ]
机构：
[1] Austrian Res Inst Artificial Intelligence, A-1010 Vienna, Austria
来源：
DAFX-03: 6TH INTERNATIONAL CONFERENCE ON DIGITAL AUDIO EFFECTS, PROCEEDINGS | 2003年
关键词：
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
Several applications in the field of content-based interaction with music repositories rely on measures which estimate the perceived similarity of music. These applications include automatic genre recognition, playlist generation, and recommender systems. In this paper we study methods to evaluate the performance of such measures. We compare five measures which use only the information extracted from the audio signal and discuss how these measures can be evaluated qualitatively and quantitatively without resorting to large scale listening tests.
引用
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页码：7 / 12
页数：6
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