Scalable robust audio fingerprinting using MPEG-7 content description
Jürgen Herre, Oliver Hellmuth, Markus Cremer · 2002
Much interest has recently been received by systems for audio fingerprinting which enable automatic content-based identification by extracting unique signatures from the signal. Among other aspects, the main requirements for such systems include robustness to a wide range of signal distortions and availability of fast search methods, even for large fingerprint databases. This paper describes the provisions of the MPEG-7 standard for audio fingerprinting which allow for interoperability of fingerprints generated according to the open standardized specification for extraction. In addition, it discusses the ability to generate scalable fingerprints providing different trade-offs between fingerprint compactness, temporal coverage and robustness of recognition, and gives experimental results for a number of system configurations.