综合分析法在音乐科学中的三个应用

Q2 Arts and Humanities Journal of Creative Music Systems Pub Date : 2022-03-18 DOI:10.5920/jcms.1044
J. Sundberg
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引用次数: 0

摘要

本文介绍了我的研究如何将综合分析策略应用于(1)儿歌风格的旋律构成,(2)音乐表演和(3)声乐演唱。描述被公式化为生成语法,由一组有序的、上下文相关的规则组成,这些规则能够产生合理的例子。这些例子很容易揭示描述中可观察到的弱点,其根源可以在规则系统中追溯并消除。描述儿歌创作风格的语法表明了层次结构的最高相关性。从乐谱文件到综合表演的转换原则来自小提琴家和音乐表演教练的建议,因此可以被视为对他作为音乐家和教育家的专业技能的描述。同样在这种情况下,语法展示了层次结构在分组方面的相关性,并反映了期望在音乐听力中的作用。描述歌声合成的规则体系规定了表演细节的声学特性。这些描述辅以声音示例,说明了所分析流派中已确定的作曲和表演规则的影响。
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Three applications of analysis-by-synthesis in music science
The article describes how my research has applied the analysis-by-synthesis strategy to (1) the composition of melodies in the style of nursery tunes, (2) music performance and (3) vocal singing. The descriptions are formulated as generative grammars, which consist of a set of ordered, context-dependent rules capable of producing sound examples. These examples readily reveal observable weaknesses in the descriptions, the origins of which can be traced in the rule system and eliminated. The grammar describing the compositional style of the nursery tunes demonstrates the paramount relevance of a hierarchical structure. Principles underlying the transformation from a music score file to a synthesized performance are derived from recommendations by a violinist and music performance coach, and can thus be regarded as a description of his professional skills as musician and pedagogue. Also in this case the grammar demonstrates the relevance of a hierarchical structure in terms of grouping, and reflects the role of expectation in music listening. The rule system describing singing voice synthesis specifies acoustic characteristics of performance details. The descriptions are complemented by sound examples illustrating the effects of identified compositional and performance rules in the genres analysed.
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来源期刊
Journal of Creative Music Systems
Journal of Creative Music Systems Arts and Humanities-Music
CiteScore
1.20
自引率
0.00%
发文量
8
审稿时长
12 weeks
期刊最新文献
Title Pending 1311 Oktoechos Classification and Generation of Liturgical Music using Deep Learning Frameworks Editorial: JCMS Special Issue of the first Conference on AI Music Creativity Contemporary music genre rhythm generation with machine learning Deep Music Information Dynamics Novel Framework for Reduced Neural-Network Music Representation with Applications to Midi and Audio Analysis and Improvisation
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