SALAMI: Structural Analysis of Large Amounts of Music Information
SALAMI: Structural Analysis of Large Amounts of Music Information
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SALAMI：大量音乐信息的结构分析
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
Ichiro Fujinaga
中科院分区：
文献类型：
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作者：
D. D. Roure;J. S. Downie;Ichiro Fujinaga
SALAMI（大量音乐信息的结构分析）将计算方法应用于庞大且不断增长的数字记录音乐，这些音乐现在可以在互联网档案馆等大规模资源中获得。它将在一个共同的框架内产生一个新的和非常实质性的网络音乐分析语料库，供音乐学者，学生和其他人使用，并建立一种方法和工具，使其他人能够在未来增加资源。SALAMI基础设施将工作流程和语义网技术与一套算法和工具结合在一起，用于从音乐信息检索和计算音乐学社区在过去十年中开发的录制音乐中提取特征，该项目使用“受控群众外包”来提供音乐作品的地面实况注释。
SALAMI (Structural Analysis of Large Amounts of Music Information) applies computational approaches to the huge and growing volume of digital recorded music that is now available in large-scale resources such as the Internet Archive. It is set to produce a new and very substantive web-accessible corpus of musical analyses in a common framework for use by music scholars, students and beyond, and to establish a methodology and tooling which will enable others to add to the resource in the future. The SALAMI infrastructure brings together workflow and Semantic Web technologies with a set of algorithms and tools for extracting features from recorded music which have been developed by the music information retrieval and computational musicology communities over the last decade, and the project uses “controlled crowd sourcing” to provide ground truth annotations of musical works.