OMRAS2: A Distributed Research Environment for Music Informatics and Computational Musicology

OMRAS2：音乐信息学和计算音乐学的分布式研究环境

• 批准号: EP/E017614/1
• 负责人: Mark Sandler
• 金额: $ 184.45万
• 依托单位: Queen Mary University of London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2007
• 资助国家: 英国
• 起止时间: 2007 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FE017614%2F1
• 关键词: OMRAS2; Distributed; Research; Environment; Music

Imagine you have just bought a new iPod, you rip loads of your dad's CDs into it (his music's cool) as well as your own, and pretty soon you have 10,000 tracks and the iPod is full. Now there's a problem. You've never listened to your dad's CDs (not that many of them anyway) and you're really not sure what The Human League sounds like, and there's another 500 CDs of his music in there. Where are the good songs? How can you ever build those really cool playlists to impress your friends with your vast musical knowledge?Online Music Recognition and Searching II A Distributed Framework for Music Informatics and Computational Musicology.Imagine you've just been given a gist subscription to a 2 million song online music store. You can choose 10,000 songs to download onto your music player, but there's a problem. You have never heard a vast majority of these songs so you're not sure which are the one's you like. How can you put together those playlists to impress your friends with your vast musical knowledge?The problem is simular for the radio DJ looking for a new playlist to keep their show on the cutting edge, or the professional violinist doing research into different performances of Vivaldi'd Four Seasons to find a new twist for an expectant audience, or the recors producer trying to find a mathimatical formula for number one singles (yes, they really do this).The answer to the above question and other interesting problems concerning large collections of digital music are exactly what the OMRAS2 project will address. When OMRAS2 is completed, you'll be able to get software that helps you build playlists with songs that you'll love even though you never heard them before; and there will be tools to help the violinist and record producer achive their goals too. Using tools from OMRAS2, your ipod will be able to predict the best sounds to use for the best chart topping number one. If you study music at University, you'll probably use OMRAS2 for analysing and comparing music.OMRAS2 aims to help technology researchers build and investigate the software that is needed to construct these super-tools. But that's not all. It will help musci researchers investigate interesting aspect of music, such as what variations of that riff in Purple Haze did Jimi Hendrix play and how did the differ, and how did different pianists interpret Bach's Goldberg Variations. OMRAS2 will also look deeply at how music and information about music (like CD Insert booklets, but more and online) will be enjoyed at home, not just downloading, but also searching, recomending, browsing and so on. And it wont be hard to use:OMRAS2 will use interfaces that look and react like familiar music software like Adobe Audition or RealAudio player.

想象一下，你刚刚买了一个新的iPod，你把你爸爸的cd（他的音乐很酷）和你自己的cd都拷进去了，很快你就有了1万首歌曲，iPod就满了。现在有一个问题。你从来没有听过你爸爸的cd（反正也不是很多），你真的不知道《人类联盟》听起来像什么，而里面还有另外500张他的音乐cd。好歌在哪里？你怎样才能用你丰富的音乐知识来建立那些真正酷的播放列表来打动你的朋友呢？在线音乐识别与搜索II：音乐信息学与计算音乐学的分布式框架。想象一下，你刚刚订阅了一个200万首歌曲的在线音乐商店。你可以选择1万首歌曲下载到你的音乐播放器上，但有一个问题。你从来没有听过这些歌曲中的大部分，所以你不确定哪一首是你喜欢的。你怎样才能把这些歌单放在一起，用你丰富的音乐知识打动你的朋友呢？这个问题类似于电台DJ寻找新的播放列表以保持他们的节目处于最前沿，或者专业小提琴家研究维瓦尔第四季的不同表演以为期待的观众找到新的变化，或者唱片制作人试图找到一个数学公式来获得冠军单曲（是的，他们真的这样做）。上述问题的答案以及其他有关大量数字音乐收藏的有趣问题正是OMRAS2项目将要解决的问题。当OMRAS2完成后，你将能够获得软件，帮助你建立播放列表，其中包含你从未听过的你会喜欢的歌曲；也会有工具来帮助小提琴家和唱片制作人实现他们的目标。使用OMRAS2的工具，你的ipod将能够预测最佳的声音，以获得最佳的排行榜冠军。如果你在大学学习音乐，你可能会使用OMRAS2来分析和比较音乐。OMRAS2旨在帮助技术研究人员构建和调查构建这些超级工具所需的软件。但这还不是全部。它将帮助音乐研究人员研究音乐有趣的方面，比如吉米·亨德里克斯在《紫雾》中演奏了哪些即兴片段的变化，这些变化有何不同，以及不同的钢琴家如何解读巴赫的《戈德堡变奏曲》。OMRAS2还将深入研究如何在家里享受音乐和音乐信息（如CD插入小册子，但更多的是在线），不仅仅是下载，还包括搜索、推荐、浏览等等。而且它并不难用：OMRAS2的界面看起来和反应都很像我们熟悉的音乐软件，比如Adobe Audition或RealAudio player。

项目成果

Improving Music Genre Classification Using Automatically Induced Harmony Rules

使用自动诱导和声规则改进音乐流派分类

• DOI: 10.1080/09298215.2010.525654
• 发表时间: 2010
• 期刊: Journal of New Music Research
• 影响因子: 1.1
• 作者: Anglade A

Modern Methods for Musicology: Prospects, Proposals, and Realities

现代音乐学方法：前景、建议和现实

• 发表时间: 2009
• 作者: Crawford, Tim;Gibson, Lorna
• 通讯作者: Gibson, Lorna

Analysis of minimum distances in high-dimensional musical spaces

• DOI: 10.1109/tasl.2008.925883
• 发表时间: 2008-07-01
• 期刊: IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
• 作者: Casey, Michael;Rhodes, Christophe;Slaney, Malcolm
• 通讯作者: Slaney, Malcolm

Exploring Music Contents

探索音乐内容

• DOI: 10.1007/978-3-642-23126-1_10
• 发表时间: 2011
• 作者: Barthet M

Estimation of harpsichord inharmonicity and temperament from musical recordings.

从音乐录音中估计羽管键琴的不和谐性和音律。

• DOI: 10.1121/1.3651238
• 发表时间: 2012
• 期刊: The Journal of the Acoustical Society of America
• 作者: Dixon S