Melody-based Knowledge Discovery in Musical Pieces

机译：基于旋律的知识发现在音乐作品中

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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).

机译：本文重点是基于数字音乐符号的变换的音乐作品中的自动知识发现。通常分析单个音乐件，以发现结构以及单独的声音的特征。使用三种拟议的操作员处理旋律和节奏，其作为元数据。在这项工作中，我们专注于旋律，因此使用模糊标签标记处理的数据，用于检测各种语音特性。也可以进行两种音乐件的对比分析，其在各种节奏或旋律性状（整体或语音分离）方面比较它们。

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《International Conference of Numerical Analysis and Applied Mathematics》|2016年|various paging|共4页
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作者
Mariusz Rybnik; Agnieszka Jastrzebska;
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中图分类 TB9-53;
关键词
Music Information Retrieval; searching; knowledge discovery; knowledge understanding;

机译：音乐信息检索;搜索;知识发现;知识理解;

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1. Knowledge Discovery in Musical Databases for Moods Detection [J] . Sanchez P., Cano J., Garcia D., Latin America Transactions, IEEE (Revista IEEE America Latina) . 2019,第12期

机译：音乐数据库中的知识发现，用于情绪检测
2. Knowledge discovery-based identification of musical pitches and instruments in polyphonic sounds [J] . Rory A. Lewis, Xin Zhang, Zbigniew W. Ras Engineering Applications of Artificial Intelligence . 2007,第5期

机译：基于知识发现的和弦声音中音高和乐器的识别
3. nstruments (from a closed set); identification of musical styles (from a closed set); and recognition of individual musical pieces (open set). The first phase of the study was test development and recording. The second phase entailed presentation of a large set of stimuli to normal listeners. Based on phase 2 findings, an item analysis was performed to eliminate stimuli that were confusing or resulted in high error rates in normals. In phase 3, hearing-impaired participants, using cochlear Impla [J] . Clinical cancer research: an official journal of the American Association for Cancer Research . 2009,第20期

机译：nstruments（来自封闭集）;识别音乐风格（从封闭的场景）;和识别单个音乐作品（开放集）。研究的第一阶段是测试开发和记录。第二阶段需要向正常听众呈现大量刺激。根据第2阶段的发现，进行了一项项目分析，以消除混淆或导致正常错误率较高的刺激。在第3阶段，听力障碍的参与者使用人工耳蜗Impla
4. Melody-based Knowledge Discovery in Musical Pieces [C] . Mariusz Rybnik, Agnieszka Jastrzebska International Conference of Numerical Analysis and Applied Mathematics . 2016

机译：基于旋律的知识发现在音乐作品中
5. A COMPARISON OF ACTIVE EXPERIENCE AND LECTURE-DISCUSSION METHODOLOGY AS MEANS FOR DEVELOPING MUSICAL KNOWLEDGE, MUSICAL DISCRIMINATION, AND MUSICAL PREFERENCE WITHIN AN ELECTRONIC MUSIC COURSE AT THE HIGH SCHOOL LEVEL (SYNTHESIZER, COMPOSITION, COMPUTER MUSIC). [D] . GROSS, ROBERT WENZEL. 1984

机译：在高中水平的电子音乐课程（合成器，合成器，计算机音乐）中，在电子知识课程中发展音乐知识，音乐辨别力和音乐偏好的手段，采用主动体验和讨论方法的比较。
6. Aesthetic Judgments of Live and Recorded Music: Effects of Congruence Between Musical Artist and Piece [O] . Amy M. Belfi, David W. Samson, Jonathan Crane, 2021

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7. The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery [O] . Gerhard Widmer 2001

机译：音乐表达计划：机器学习和知识发现的挑战

Melody-based Knowledge Discovery in Musical Pieces

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