Automated Methods and Tools for Analyzing and Structuring Choral Music

用于分析和构建合唱音乐的自动化方法和工具

• 批准号: 372251794
• 负责人: Professor Dr. Meinard Müller
• 金额: --
• 依托单位: Carus-Verlag GmbH & Co. KG
• 依托单位国家: 德国
• 项目类别: Research Grants (Transfer Project)
• 财政年份: 2017
• 资助国家: 德国
• 起止时间: 2016-12-31 至 2020-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/372251794?language=en
• 关键词: Automated; Methods; Tools; Analyzing; Structuring

Processing musical signals automatically is a major challenge because of the variety of music in form and content. The Metrum project, funded by the DFG from 2012 to 2015, dealt with the development of fundamental computer-assisted methods for analyzing and structuring musical signals. In the transfer project we propose, these automated methods are to be tested in practice, in cooperation with the Carus publishing house - a leading music publisher for religious and secular choral music with headquarters in Stuttgart. We plan to develop web-based prototypes for the interactive navigation and analysis of choral music recordings, which may be used to support music lessons in schools or to train choir directors. Besides realizing the prototypes, the following fundamental questions are in the focus of the project. First, we want to examine the suitability of novel navigation, visualization and sonification methods for musical structures by integrating them into user interfaces. Second, we want to investigate how and to what extent (partially) automated procedures can help simplify the process of linking and analyzing multimedia content - tasks that are often done in a purely manual fashion. In particular, we want to evaluate and adapt automated synchronization and structuring methods considering specific application scenarios. Third, we want to develop personalization strategies embedded into interactive tools that allow users to structure and analyze music recordings according to their specific needs, expectations, and requirements. Such strategies are not only of great practical relevance, but raise new scientific questions on how to develop adaptive strategies for analyzing and modifying musical signals. Through the close collaboration with the Carus publishing house, the project offers numerous cross-connections to fields such as music education and musicology, which will stimulate further interdisciplinary cooperations.

由于音乐的形式和内容多种多样，自动处理音乐信号是一个重大挑战。 Metrum 项目由 DFG 于 2012 年至 2015 年资助，致力于开发用于分析和构建音乐信号的基本计算机辅助方法。在我们提出的转移项目中，这些自动化方法将与总部位于斯图加特的宗教和世俗合唱音乐领先音乐出版商 Carus 出版社合作，在实践中进行测试。我们计划开发基于网络的原型，用于合唱音乐录音的交互式导航和分析，这可用于支持学校的音乐课程或培训合唱团指挥。除了实现原型之外，以下基本问题也是该项目的重点。首先，我们希望通过将新颖的导航、可视化和声音化方法集成到用户界面中来检查它们对音乐结构的适用性。其次，我们想要研究（部分）自动化程序如何以及在多大程度上可以帮助简化链接和分析多媒体内容的过程 - 通常以纯手动方式完成的任务。特别是，我们希望考虑特定的应用场景来评估和调整自动同步和结构化方法。第三，我们希望开发嵌入交互式工具的个性化策略，使用户能够根据自己的特定需求、期望和要求来构建和分析音乐录音。这些策略不仅具有很大的实际意义，而且还提出了如何开发用于分析和修改音乐信号的自适应策略的新科学问题。通过与卡鲁斯出版社的密切合作，该项目为音乐教育和音乐学等领域提供了众多的交叉联系，这将促进进一步的跨学科合作。

项目成果

Learning Low-Dimensional Embeddings of Audio Shingles for Cross-Version Retrieval of Classical Music

• DOI: 10.3390/app10010019
• 发表时间: 2019-12
• 期刊: Applied Sciences
• 作者: Frank Zalkow;Meinard Müller

Dagstuhl ChoirSet: A Multitrack Dataset for MIR Research on Choral Singing

Dagstuhl ChoirSet：用于 MIR 合唱研究的多轨数据集

• DOI: 10.5334/tismir.48
• 发表时间: 2020
• 期刊: Trans. Int. Soc. Music. Inf. Retr.
• 作者: Rosenzweig;Cuesta;Scherbaum;Gómez;Müller
• 通讯作者: Müller

Efficient Retrieval of Music Recordings Using Graph-Based Index Structures

• DOI: 10.3390/signals2020021
• 发表时间: 2021-05
• 作者: Frank Zalkow;Julian Brandner;Meinard Müller

Bridging the Gap: Enriching YouTube Videos with Jazz Music Annotations

• DOI: 10.3389/fdigh.2018.00001
• 发表时间: 2018-02
• 期刊: Frontiers Digit. Humanit.
• 作者: S. Balke;C. Dittmar;J. Abeßer;K. Frieler;Martin Pfleiderer;Meinard Müller

Schubert Winterreise Dataset

• DOI: 10.1145/3429743
• 发表时间: 2021-05
• 期刊: Journal on Computing and Cultural Heritage (JOCCH)
• 作者: Christof Weiß;Frank Zalkow;Vlora Arifi-Müller;Meinard Müller;Hendrik Vincent Koops;Anja Volk;Harald Grohganz