A Highly Robust Audio Fingerprinting System
A Highly Robust Audio Fingerprinting System
复制标题
DOI：
--
复制
发表时间：
2002
期刊：
影响因子：
--
通讯作者：
J. Haitsma;T. Kalker
中科院分区：
文献类型：
--
作者：
J. Haitsma;T. Kalker
想象一下下面的情况。你在车里听收音机，突然听到一首歌引起了你的注意。这是你很长一段时间以来听到的最好的新歌，但你错过了公告，不认识歌手。不过，你还是想更多地了解这种音乐。你应该怎么做？你可以打电话给电台，但那太麻烦了。如果你能在手机上按几个按钮，几秒钟后手机就会回复出艺术家的名字和你正在听的音乐的标题，这不是很好吗？甚至可以发送一封电子邮件到你的默认电子邮件地址，并提供一些补充信息。本文提出了一种音频指纹识别系统，使上述场景成为可能。将未知音频片段的指纹作为对指纹数据库的查询，该指纹数据库包含大量歌曲库的指纹，可以对该音频片段进行识别。该系统的核心是一种高度鲁棒的指纹提取方法和高效的指纹搜索策略，可以在有限的计算资源下对大型指纹数据库进行搜索。
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.