JythonMusic:一个教学算法作曲、动态编码和音乐表演的环境

IF 0.6 0 MUSIC
B. Manaris, Blake Stevens, Andrew R. Brown
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引用次数: 30

摘要

音乐现场编码的实践挑战了关于开发敏捷性的计算惯例。音乐的计算表示同样挑战音乐家以新的方式表达他们的实践。在本文中,我们将描述旨在应对这些挑战的JythonMusic环境的开发、教学和使用。JythonMusic是用Python编写的,是一个面向所有级别和背景的音乐家和程序员的音乐制作和创造性编程活动的开源项目。JythonMusic支持算法作曲,动态编码和音乐表演,包括现场编码。本文研究了JythonMusic在结合计算机科学和音乐的大学课程背景下用于作曲和表演项目的功能。通过几个项目和现场编码案例研究,证明了这种媒介在音乐和编程教学中的优势,从而引出了一系列关于编码在音乐教学中的优势的观察和建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
JythonMusic: An environment for teaching algorithmic music composition, dynamic coding and musical performativity
The practice of coding music live challenges computing conventions with regard to developmental agility. The computational representation of music likewise challenges musicians to articulate their practice in new ways. In this article we describe the development, teaching and use of the JythonMusic environment designed to meet these challenges head on. JythonMusic, written in Python, is an open source project for music making and creative programming activities intended for musicians and programmers, of all levels and backgrounds. JythonMusic supports algorithmic music composition, dynamic coding and musical performativity including live coding. This article examines the functionality of JythonMusic for composition and performance projects in the context of university courses that combine computer science and music. The advantages of this medium for music and programming instruction are demonstrated through several projects and a live coding case study, leading to a series of observations and proposals concerning the advantages of coding in music pedagogy.
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
6
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