A Highly Robust Audio Fingerprinting System With an Efficient Search Strategy
A Highly Robust Audio Fingerprinting System With an Efficient Search Strategy
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DOI：
10.1076/jnmr.32.2.211.16746
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发表时间：
2003-06
影响因子：
1.1
通讯作者：
J. Haitsma;T. Kalker
中科院分区：
文献类型：
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作者：
J. Haitsma;T. Kalker
想象一下下面的情况。你在车里听收音机，突然听到一首歌吸引了你的注意力。这是你很久以来听到的最好的新歌，但是你错过了广播，也不认识歌手。你想知道更多关于音乐的事情。你该怎么办？你可以打电话给电台，但那太麻烦了。如果你能在你的移动的手机上按几个键，几秒钟后手机就会回复你正在听的艺术家的名字和音乐的标题，那不是很好吗？也许甚至发送一封电子邮件到您的默认电子邮件地址与一些补充信息。在本文中，我们提出了一个音频指纹系统，这使得上述情况成为可能。通过使用未知音频剪辑的指纹作为对指纹数据库的查询，可以识别音频剪辑，指纹数据库包含大型歌曲库的指纹。在所提出的系统的核心是一个高度鲁棒的指纹提取方法和一个非常有效的指纹搜索策略，这使得搜索一个大型的指纹数据库，只有有限的计算资源。
Imagine the following situation. You’re in your car, listening to the radio and suddenly you hear a song that catches your attention. It’s the best new song you have heard for a long time, but you missed the announcement and don’t recognize the artist. Still, you would like to know more about this music. What should you do? You could call the radio station, but that’s too cumbersome. Wouldn’t it be nice if you could push a few buttons on your mobile phone and a few seconds later the phone would respond with the name of the artist and the title of the music you’re listening to? Perhaps even sending an email to your default email address with some supplemental information. In this paper we present an audio fingerprinting system, which makes the above scenario possible. By using the fingerprint of an unknown audio clip as a query on a fingerprint database, which contains the fingerprints of a large library of songs, the audio clip can be identified. At the core of the presented system are a highly robust fingerprint extraction method and a very efficient fingerprint search strategy, which enables searching a large fingerprint database with only limited computing resources.