Audio fingerprinting permits the identification of unlabelled audio, regardless of the format it is delivered in, or certain signal distortions it may have endured as a result of compression, filtering, transmission, etc. The unknown audio signal is identified via a compact representation of its spectral characteristics that is compared against all records in a reference database. MusicURI makes use of the MPEG-7 standard (formally known as the Multimedia Content Description Interface), which defines a universal mechanism for exchanging multimedia-related descriptive data, and has defined the Audio Signature Description Scheme as its audio fingerprinting tool, for the purpose of robust identification of audio signals.
有许多用于音频指纹识别的库。不幸的是，其中大多数都不是用 Java 编写的。其中大多数是用 C 或 python 编写的。您可以搜索 AcoustID、pHash、jHears、Echoprint。
There are many libraries for Audio Fingerprinting. Unfortunately most of them are not in Java. Most of them are in C or python. You can search for AcoustID, pHash, jHears, Echoprint.
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这个名为 musicg 的开源项目可以帮助您
http://code.google.com/p/musicg/
This open source project called musicg can help you
http://code.google.com/p/musicg/
请参阅此问题。
phash 不是用 java 编写的，但具有 java 绑定，因此它可以是 从java调用。
See this question.
phash isn't written in java, but has java bindings, so it can be called from java.
有许多用于音频指纹识别的库。不幸的是，其中大多数都不是用 Java 编写的。其中大多数是用 C 或 python 编写的。您可以搜索 AcoustID、pHash、jHears、Echoprint。
There are many libraries for Audio Fingerprinting. Unfortunately most of them are not in Java. Most of them are in C or python. You can search for AcoustID, pHash, jHears, Echoprint.