A Review of Audio Fingerprinting and Comparison of Algorithms
نویسندگان
چکیده
An audio finger print is a small set of features that uniquely identifies a song. An audio fingerprint can be used for broadcast monitoring, audience measurement, meta-data collection. The general framework for building an audio fingerprint includes a frontend and a finger print modeling block. This paper details various uses and properties of an audio fingerprint and also the various stages included in the front end. Two algorithms namely PRH and MLH have been discussed.
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