课题基金 / 基金详情

Automated Methods and Tools for Analyzing and Structuring Choral Music

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:
$0.0万
依托单位:
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
项目状态:
已结题
起止时间:
2016-12-31 至 2020-12-31

项目摘要

项目成果

Professor Dr. Meinard Müller的其他基金

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相关文献

中文摘要
翻译
由于音乐在形式和内容上的多样性,自动处理音乐信号是一项重大挑战。Metrum项目由DFG于2012年至2015年资助,主要研究用于分析和构建音乐信号的基本计算机辅助方法的发展。在我们提出的转移项目中,这些自动化方法将与Carus出版社合作在实践中进行测试,Carus出版社是总部位于斯图加特的宗教和世俗合唱音乐的领先音乐出版商。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,这可能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,以下几个基本问题也是项目的重点。首先,我们想通过将新的导航、可视化和声音化方法集成到用户界面中来研究音乐结构的适用性。其次,我们希望研究自动化过程如何以及在多大程度上(部分地)有助于简化链接和分析多媒体内容的过程——这些任务通常以纯手工方式完成。特别是,我们希望根据特定的应用场景来评估和调整自动化同步和结构化方法。第三,我们希望开发嵌入到交互式工具中的个性化策略,允许用户根据他们的特定需求、期望和要求来构建和分析音乐录音。这些策略不仅具有重要的实际意义,而且对如何开发分析和修改音乐信号的自适应策略提出了新的科学问题。通过与Carus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许多交叉连接,这将促进进一步的跨学科合作。
英文摘要
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.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
DOI: 10.3390/app10010019
发表时间: 2019-12
期刊: Applied Sciences
影响因子: --
作者: [Frank Zalkow;Meinard Müller]
通讯作者: 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.
影响因子: --
作者: [Rosenzweig, Cuesta, Scherbaum, Gómez, Müller]
通讯作者: Müller
DOI: 10.3390/signals2020021
发表时间: 2021-05
期刊:
影响因子: --
作者: [Frank Zalkow;Julian Brandner;Meinard Müller]
通讯作者: Frank Zalkow;Julian Brandner;Meinard Müller
DOI: 10.3389/fdigh.2018.00001
发表时间: 2018-02
期刊: Frontiers Digit. Humanit.
影响因子: --
作者: [S. Balke;C. Dittmar;J. Abeßer;K. Frieler;Martin Pfleiderer;Meinard Müller]
通讯作者: S. Balke;C. Dittmar;J. Abeßer;K. Frieler;Martin Pfleiderer;Meinard Müller
Computational Analysis of Georgian Vocal Music and Beyond
Score-Informed Audio Parameterization of Music Signals
Rekonstruktion von Bewegungsabläufen aus niedrigdimensionalen Sensor- und Kontrolldaten
  • 批准号:
    73725517
  • 项目类别:
    Research Grants
  • 资助金额:
    $0.0万
  • 财政年份:
    2008
  • 负责人:
    Professor Dr. Meinard Müller
  • 依托单位:
Source Separation and Restoration of Sound Components in Music Recordings
国内基金
海外基金
Computational Methods for Analyzing Toponome Data