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

想象一下，你刚买了一个新的iPod，你把你爸爸的CD（他的音乐很酷）和你自己的CD都撕了下来，很快你就有了10,000首歌，iPod就满了。现在有个问题你从来没有听过你爸爸的CD（反正也没那么多），你真的不知道《人类联盟》听起来像什么，里面还有500张他的音乐CD。好歌在哪里？你如何才能建立那些真正酷的播放列表，用你丰富的音乐知识给你的朋友留下深刻印象？在线音乐识别和搜索II音乐信息学和计算音乐学的分布式框架想象一下，你刚刚订购了一个200万首歌曲的在线音乐商店。你可以选择10,000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绝大多数，所以你不确定哪些是你喜欢的。你如何把这些播放列表放在一起，用你丰富的音乐知识给你的朋友留下深刻印象？这个问题类似于电台DJ寻找一个新的播放列表，以保持他们的节目在最前沿，或专业小提琴家做研究不同的表演维瓦尔第的四季，以找到一个新的转折，为期待的观众，或recors生产者试图找到一个数学公式的头号单曲（是的，他们真的这么做了）。上述问题的答案和其他关于大量数字音乐收藏的有趣问题正是OMRAS 2项目将解决的问题。当OMRAS 2完成时，你将能够获得软件，帮助你建立播放列表，其中包含你喜欢的歌曲，即使你以前从未听过它们;也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OMRAS 2中的工具，您的iPod将能够预测最佳声音，以获得最佳排行榜第一名。如果你在大学学习音乐，你可能会使用OMRAS 2来分析和比较音乐。OMRAS 2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。它将帮助音乐研究人员研究音乐的有趣方面，例如吉米·亨德里克斯演奏的紫色阴霾中的即兴重复的变化以及它们之间的差异，以及不同的钢琴家如何解释巴赫的戈德堡变奏曲。OMRAS 2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），不仅下载，而且搜索，重新编辑，浏览等。而且它不会很难使用：用途：OMRAS 2将使用界面，外观和反应就像熟悉的音乐软件，如Adobe Audition或RealAudio播放器。

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.