Music Recommendation Based on Multidimensional Description and Similarity Measures

被引：5
|
作者：
Kostek, Bozena [1 ]
Kaczmarek, Andrzej [2 ]
机构：
[1] Gdansk Univ Technol, Audio Acoust Lab, Fac Elect Telecomm & Informat, PL-80233 Gdansk, Poland
[2] Gdansk Univ Technol, Multimedia Syst Dept, Fac Elect Telecomm & Informat, PL-80233 Gdansk, Poland
来源：
FUNDAMENTA INFORMATICAE | 2013年 / 127卷 / 1-4期
关键词：
Music Information Retrieval (MIR); Music genre classification; Music parametrization; Query systems; Intelligent decision systems; GENRE CLASSIFICATION; INSTRUMENT; INFORMATION; SOUNDS;
D O I：
10.3233/FI-2013-912
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
This study aims to create an algorithm for assessing the degree to which songs belong to genres defined a priori. Such an algorithm is not aimed at providing unambiguous classification-labelling of songs, but at producing a multidimensional description encompassing all of the defined genres. The algorithm utilized data derived from the most relevant examples belonging to a particular genre of music. For this condition to be met, data must be appropriately selected. It is based on the fuzzy logic principles, which will be addressed further. The paper describes all steps of experiments along with examples of analyses and results obtained.
引用
收藏
页码：325 / 340
页数：16
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