Duplicate Song Detection using Audio Fingerprinting for Consumer Electronics Devices

In the fast-growing field of digital asset distribution, asset identification is very important. Audio fingerprinting is a proven method of identifying audio assets. In this paper a new feature for consumer electronics devices, called duplicate song elimination or duplicate song detection, is presented. By example of a typical user scenario we show how this feature can be used in practice. We also show how this feature can be integrated in data management middleware to perform background self-cleaning from duplicates. The audio fingerprinting technology enables this feature and creates opportunities for other sophisticated features in the future