Title Pending 1311

Q2 Arts and Humanities Journal of Creative Music Systems Pub Date : 2023-09-04 DOI:10.5920/jcms.1311
Gerald Moshammer
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引用次数: 0

Abstract

Abstract animation inthe form of “visual music” facilitates both discovery and priming of musicalmotion that synthesises diverse acoustic parameters. In this article, twoscenes of AudioVisualizer, an open-source Chrome extension, are appliedto the nine musical poems of Robert Schumann’s Forest Scenes, with thegoal to establish a basic framework of expressive cross-modal qualities that inaudiovisual synchrony become apparent through visual abstraction and theemergence of defined dynamic Gestalts. The animations that build thisarticle’s core exemplify hands-on how particular ways of real-time analoguemusic tracking convert score structure and acoustic information into continuousdynamic images. The interplay between basic principles of information captureand concrete simulation in the processing of music provides one crucial entrypoint to fundamental questions as to how music generates meaning andnon-acoustic signification. Additionally, the considerations in this articlemay motivate the creation of new stimuli in empirical music research as well asstimulate new approaches to the teaching of music.
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1311未决标题
“视觉音乐”形式的抽象动画促进了音乐运动的发现和启动,这些音乐运动综合了不同的声学参数。在这篇文章中,AudioVisualizer的两个场景,一个开源的Chrome扩展,被应用到罗伯特·舒曼的森林场景的九首音乐诗中,目的是建立一个表达跨模态质量的基本框架,通过视觉抽象和定义动态格式塔的出现,视听同步变得明显。构建本文核心的动画举例说明了实时模拟音乐跟踪的特定方式如何将乐谱结构和声学信息转换为连续动态图像。在音乐处理中,信息捕获的基本原则和具体模拟之间的相互作用为音乐如何产生意义和非声学意义等基本问题提供了一个关键的切入点。此外,本文中的考虑可能会激发在实证音乐研究中创造新的刺激,并激发音乐教学的新方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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