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

[1]  Joep P. van Gassel,et al.  Media distribution in a pervasive computing environment , 2005, Third IEEE International Conference on Pervasive Computing and Communications Workshops.

[2]  Peter A. Boncz,et al.  AmbientDB: P2P data management middleware for ambient intelligence , 2004, IEEE Annual Conference on Pervasive Computing and Communications Workshops, 2004. Proceedings of the Second.

[3]  Jonathan Goldstein,et al.  Indexing High Dimensional Rectangles for Fast Multimedia Identification , 2003 .

[4]  Pedro Cano,et al.  A review of algorithms for audio fingerprinting , 2002, 2002 IEEE Workshop on Multimedia Signal Processing..

[5]  Alexander Sinitsyn,et al.  A synchronization framework for personal mobile servers , 2004, IEEE Annual Conference on Pervasive Computing and Communications Workshops, 2004. Proceedings of the Second.

[6]  Ton Kalker,et al.  A Highly Robust Audio Fingerprinting System , 2002, ISMIR.

[7]  John C. Platt,et al.  Distortion discriminant analysis for audio fingerprinting , 2003, IEEE Trans. Speech Audio Process..

[8]  Jan Nesvadba,et al.  Integrating Media Management Towards Ambient Intelligence , 2005, Adaptive Multimedia Retrieval.

[9]  Henrique S. Malvar,et al.  Using audio fingerprinting for duplicate detection and thumbnail generation , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..