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

在线音乐识别和搜索II想象你刚刚买了一个新的iPod，你把很多你父亲的CD(他的音乐很酷)和你自己的CD都撕了进去，很快你就有了10,000首曲目，iPod就满了。现在有个问题了。你从来没有听过你父亲的CD(至少没有那么多)，你真的不确定人类联盟听起来是什么样子，那里还有另外500张他的音乐CD。好歌在哪里？你怎样才能用你广博的音乐知识来给你的朋友留下深刻的印象呢？对于研究维瓦尔第四季不同演奏的专业小提琴家来说，这个问题类似于为期待的观众寻找新的转折，或者对于唱片制作人来说，试图为排名第一的单曲找到一个数学公式(是的，他们确实做到了这一点)。OMRAS2项目将解决这些和其他关于大量数字音乐的有趣问题的答案。该项目本身不能为你提供与iTunes和iPod一起运行的整洁软件，但到你上大学的时候，在项目结束后，你将能够获得软件，帮助你建立播放列表，其中包含你会喜欢的歌曲，尽管你以前从未听过它们；而且将有工具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将拥有自己的超级DJ，他知道你的音乐品味，唱片公司将使用超级制作人来预测下一个排行榜第一名使用的最佳声音。如果你真的在大学学习音乐，你可能会使用OMRAS2来帮助你的学习。OMRAS2旨在帮助技术研究人员构建和研究构建这些超级工具所需的软件。但这还不是全部。它还将帮助音乐研究人员调查音乐中有趣的方面，例如吉米·亨德里克斯演奏了《紫霾》中的即兴小品的哪些变奏曲，它们有何不同，以及不同的钢琴家如何诠释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有关音乐的信息(如CD插入小册子，但更多和在线)，不仅是下载，还包括搜索、推荐、浏览等。它的使用并不难：OMRAS2将使用外观和反应都像你在音乐技术研究中习惯的音乐编辑器的界面，比如Adobe Audition，以及你在家里使用的音乐播放器，比如RealAudio Player。

Online Music Recognition and Searching IIImagine 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? Howcan you ever build those really cool playlists to impress your friends with your vast musical knowledge?The problem is similar for a professional violinist doing research into different performances of Vivaldi's Four Seasons to find a new twist for an expectant audience, or the record producer trying to find a mathematical formula for number one singles (yes, they really do this).The answer to these and other interesting problems concerning large collections of digital music are exactly what the OMRAS2 project will address. The project can't itself give you neat software to run withiTunes and your iPod, but by the time you're at university, after the project finishes, you'll be able to get software that helps you build playlists with songs that you'll love even though you never heard thembefore; and there will be tools to help the violinist and record producer achieve their goals. Using tools from OMRAS2, your iPod will have its own super-DJ who knows your musical tastes, and record companies will use super-Producers that predict the best sounds to use for the next chart topping Number 1. If you actually study Music at university, you'll probably use OMRAS2 to help with your studies.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 also help music researchers investigate interesting aspects of music, such as what variations of that riff in Purple Haze did Jimi Hendrix play and how did they 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 on-line) will be enjoyed at home, not just downloading, but also searching, recommending, browsing and so on. And it won't be hard to use: OMRAS2 will use interfaces that look and react like the music editors you are used to from your Music Technology studies, like Adobe Audition, and the music players you use at home like RealAudio player.