Beethoven in the House: Digital Studies of Domestic Music Arrangements

贝多芬在家里：家庭音乐编曲的数字研究

• 批准号: 429039809
• 负责人: Professor Dr. Johannes Kepper
• 金额: --
• 依托单位: Bodleian Libraries
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2019
• 资助国家: 德国
• 起止时间: 2018-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/429039809?language=en
• 关键词: Beethoven; House; Digital; Studies; Domestic

Performance of music in the home was the means by which most works were received before the advent of audio recordings and broadcasts, yet the notation sources that form our primary record of this culture have not been the subject of comprehensive or methodical study. Choices made by arrangers adapting music for domestic consumption—of instrumentation, abbreviation, or simplification—reflect the musical life of the 19th-century, and can inform our understanding alongside contemporary accounts such as newspapers, adverts, and diaries.A study of Steiner editions of Beethoven’s 7th and 8th Symphonies and Wellingtons Sieg will make a detailed comparison between arrangements, systematically identifying a core common to multiple versions, and asking if this reflects the stated values of the publisher. A second survey seeks patterns across a larger sample of lesser-known and poorly catalogued scores, collating emergent indicators of arrangers’ motivations within a narrative of the domestic market - the music industry of its day. Both studies innovate digital methods which characterise arrangements as music encodings, including new ‘sparse’ approaches to notation and annotation. Optical Music Recognition and Linked Data will find and structure new knowledge. Results will be digitally represented using an ontology of musicological argument, providing reusable methods and research data for digital musicology, as well as informing the wider digital humanities.Leading experts and institutions from Germany and the UK will work together with combined collections from both countries for the first time. Doing so, they will jointly transform methods and tools in their field of digital musicology. Siegert (Germany Co-I) is the head of Beethoven-Haus research, General Editor of the Beethoven Gesamtausgabe and, as a musicologist, widely published on late eighteenth and early nineteenth-century music. Beethovens Werkstatt, a joint research project between the Beethoven-Haus and the Musicological Seminar Detmold/Paderborn, brings the concept of genetic editing to music, for which Kepper (Germany PI) leads its realisation through the ground-breaking music encoding technology for scholarly editions. Page (UK PI) leads the digital musicology team at the University of Oxford e-Research Centre, which combined Linked Data and music encoding to great effect during the AHRC funded Transforming Musicology project, and subsequently Unlocking Musicology and Digital Delius. Hankinson (UK Co-I) is Senior Software Engineer in Digital Research at the Bodleian Libraries, where he develops digital imaging systems, researches large-scale Optical Music Recognition and distributed music notation search, and serves on the Technical Review Committee for the International Image Interoperability Framework. All four investigators are leading members of the music encoding community, each having served as chair of the Music Encoding Conference.

在录音和广播出现之前，家庭音乐表演是大多数作品的接收方式，但构成我们对这种文化的主要记录的记谱来源尚未成为全面或系统研究的主题。作曲家为国内消费而改编音乐的选择--乐器、缩写或简化--反映了19世纪的音乐生活，并可以通过报纸、广告和日记等当代报道来告知我们的理解。系统地确定多个版本的共同核心，并询问这是否反映了出版商的价值观。第二项调查是在一个更大的样本中寻找模式，这些样本是不太为人所知、分类不清的乐谱，在对国内市场（当时的音乐产业）的叙述中整理出演奏者动机的新指标。这两项研究都创新了将编曲作为音乐编码的数字方法，包括新的“稀疏”记谱和注释方法。光学音乐识别和关联数据将发现和构建新知识。结果将通过音乐学论证的本体进行数字化表示，为数字音乐学提供可重复使用的方法和研究数据，并为更广泛的数字人文学科提供信息。来自德国和英国的领先专家和机构将首次与两国的联合馆藏合作。这样做，他们将共同改造数字音乐学领域的方法和工具。Siegert（德国Co-I）是贝多芬-豪斯研究的负责人，贝多芬Gesamtausgabe的总编辑，作为一名音乐学家，广泛出版了18世纪末和19世纪初的音乐。Beethovens Werkstatt是Beethoven-Haus和音乐学研讨会Detmold/Paderborn之间的联合研究项目，将基因编辑的概念引入音乐，Kepper（德国PI）通过开创性的音乐编码技术为学术版本带来了实现。Page（英国PI）领导牛津大学电子研究中心的数字音乐学团队，该团队将关联数据和音乐编码结合起来，在AHRC资助的转型音乐学项目中发挥了巨大作用，随后解锁音乐学和数字Delius。Hankinson（英国Co-I）是Bodleian图书馆数字研究的高级软件工程师，在那里他开发数字成像系统，研究大规模光学音乐识别和分布式乐谱搜索，并担任国际图像互操作性框架技术审查委员会成员。所有四位研究人员都是音乐编码社区的主要成员，每个人都担任过音乐编码会议的主席。