Using audio fingerprinting for duplicate detection and thumbnail generation

• Published in: Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005 Vol. 3; pp. iii/9 - iii12 Vol. 3
• Main Authors: Burges, C.J.C., Plastina, D., Platt, J.C., Renshaw, E., Malvar, H.S.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2005
• Subjects: Audio databases; Cleaning; Detectors; Engines; Euclidean distance; Fingerprint recognition; Multidimensional systems; Page description languages; Robustness; Streaming media
• ISBN: 9780780388741; 0780388747
• ISSN: 1520-6149; 2379-190X
• DOI: 10.1109/ICASSP.2005.1415633

Audio fingerprinting is a powerful tool for identifying file-based or streaming audio, using a database of fingerprints. The paper presents two new applications of audio fingerprinting: duplicate detection, whose goal is to identify duplicate audio clips in a set, even if they differ in compression quality or duration, and thumbnail generation, which aims to provide a representative short clip of a music track. Neither application requires an external database of fingerprints. Thanks to the robustness of the fingerprinting engine, both applications perform well; the duplicate detector has a false positive rate that is conservatively bounded above by 1% on a very large data set, and the thumbnail generator significantly outperforms using a fixed window.