维也纳爱乐乐团的新年音乐会:建立一个公平的音乐学数据语料库

David M. Weigl, Chanda VanderHart, Matthäus Pescoller, Delilah Rammler, M. Grassl, Fritz Trümpi, W. Goebl
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引用次数: 0

摘要

维也纳爱乐乐团的新年音乐会是一年一度的新年直播节目,面向广大的国际观众,每年都有明星指挥的交替阵容和不断变化的曲目,其中包括最受欢迎的蓝色多瑙河华尔兹和拉德茨基进行曲,年复一年。我们正在收集、数字化并将这个系列的音乐会录音与音频特征、乐谱编码、历史话语记录和其他临时记录对齐,将这些多模态音乐信息互连起来,并按照可查找、可访问、可互操作和可重用(FAIR)研究数据管理的原则,将其作为连接开放数据的数字语料库提供。在此,我们提出音乐学研究问题,激励我们的工作;描述组装语料库和开发相关编辑和分析工具的方法,建立和扩展最近建立的语义音乐信息工作流程;并且,为结合这些数据的正在进行的数字音乐学研究提供见解。我们的工作的动机是追求我们自己在音乐学和表演科学方面的研究兴趣,同时也希望为更广泛的数字音乐研究社区提供有用和可重复使用的数据集,将这些领域之间的出版实践带入进一步的对话。
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The Vienna Philharmonic Orchestra’s New Year’s Concerts: Building a FAIR Data Corpus for Musicology
The Vienna Philharmonic Orchestra’s New Year’s Concert is an annual, live-broadcast New Year’s Day staple for a vast international audience, with an alternating line-up of star conductors and an ever-changing repertoire that incorporates the same favourites – most notably, the Blue Danube Waltz and the Radetzky March – year after year. We are gathering, digitizing, and aligning the concert recordings of this series with audio features, score encodings, records of historical discourse, and other ephemera, interconnecting this multimodal music information and making it available as a digital corpus of linked open data following the principles of Findable, Accessible, Interoperable, and Reusable (FAIR) research data management. Here, we raise musicological research questions motivating our work; describe the approach to assembling our corpus and developing associated editorial and analytical tooling, building on and extending recently established semantic music information workflows; and, provide insight into ongoing digital musicology research incorporating this data. Our work is motivated both by the pursuit of our own research interests in musicology and performance science, but also by a desire to provide a useful and reusable dataset for the wider digital music research community, bringing publication practices between these fields into further dialogue.
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