Towards a Distributed Research Environment for Music Informatics and Computational Musicology
Towards a Distributed Research Environment for Music Informatics and Computational Musicology
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走向音乐信息学和计算音乐学的分布式研究环境
DOI：
10.1080/09298215.2010.545241
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发表时间：
2010
影响因子：
1.1
通讯作者：
Dixon S
中科院分区：
文献类型：
--
作者：
Dixon S
欢迎阅读关于 OMRAS2 项目的《新音乐研究杂志》特刊：在线音乐识别和搜索——音乐信息学和计算音乐学的分布式研究环境。本文介绍了本期的六篇论文，将它们置于音乐信息学和计算音乐学研究的更广泛背景下，并简要概述了 OMRAS2 项目中完成的其他工作。随后，伦敦玛丽女王大学和伦敦金史密斯学院这两个项目的主要研究人员对 OMRAS2 项目的成就进行了回顾。音乐学和信息学曾经是互不相关的领域，现在却有着相当多的共同点。一方面，用于分析乐谱或音频格式音乐内容的计算机软件在经验（或系统）音乐学中赢得了重要地位（Cook，2004；Crawford 和 Gibson，2009），例如它有助于分析大型音乐收藏（Widmer，2001）。另一方面，在经济实惠的数据处理、存储和传输技术快速进步的推动下，音乐制作、发行和消费链的数字化导致人们可以通过互联网获取大量的音乐内容和元数据。这些发展颠覆了音乐行业的传统商业模式，同时催生了音乐信息学领域，也称为音乐信息检索，它涉及与访问、分析和操作音乐内容和知识相关的流程的自动化。
Welcome to this special issue of the Journal of New Music Research, on the OMRAS2 project: Online Music Recognition And Searching—A Distributed Research Environment for Music Informatics and Computational Musicology. This article introduces the six papers in this issue, setting them in the broader context of music informatics and computational musicology research, and gives a brief overview of other work completed in the OMRAS2 project. This is followed by reviews of the achievements of the OMRAS2 project from the principle investigators at the two institutions where the project took place: Queen Mary University of London and Goldsmiths University of London. Musicology and informatics, once unrelated fields, now share considerable common ground. On the one hand, computer software for the analysis of musical content in score or audio formats is winning an important place in empirical (or systematic) musicology (Cook, 2004; Crawford and Gibson, 2009), for example where it facilitates the analysis of large music collections (Widmer, 2001). On the other hand, the digitisation of the music production, distribution and consumption chain, fuelled by rapid advances in affordable data processing, storage and transmission, has led to the availability of vast quantities of musical content and metadata via the Internet. These developments have overturned traditional business models for the music industry and at the same time spawned the field of music informatics, also known as Music Information Retrieval, which deals with the automation of processes associated with accessing, analysing and manipulating musical content and knowledge.