Melody-based Knowledge Discovery in Musical Pieces

被引：0
|
作者：
Rybnik, Mariusz [1 ]
Jastrzebska, Agnieszka [2 ]
机构：
[1] Univ Bialystok, Fac Math & Comp Sci, Ul Ciolkowskiego 1M, PL-15245 Bialystok, Poland
[2] Warsaw Univ Technol, Fac Math & Informat Sci, Ul Koszykowa 75, PL-00662 Warsaw, Poland
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2015 (ICNAAM-2015) | 2016年 / 1738卷
关键词：
Music Information Retrieval; searching; knowledge discovery; knowledge understanding; FUZZY-SETS; INFORMATION;
D O I：
10.1063/1.4951953
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
The paper is focused on automated knowledge discovery in musical pieces, based on transformations of digital musical notation. Usually a single musical piece is analyzed, to discover the structure as well as traits of separate voices. Melody and rhythm is processed with the use of three proposed operators, that serve as meta-data. In this work we focus on melody, so the processed data is labeled using fuzzy labels, created for detecting various voice characteristics. A comparative analysis of two musical pieces may be performed as well, that compares them in terms of various rhythmic or melodic traits (as a whole or with voice separation).
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页数：4
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