Audio Fingerprinting: Concepts And Applications

An audio fingerprint is a unique and compact digest derived from perceptually rele- vant aspects of a recording. Fingerprinting technologies allow the monitoring of audio content without the need of metadata or watermark embedding. However, additional uses exist for audio fingerprinting. This paper aims to give a vision on Audio Fingerprinting. The rationale is presented along with the differences with respect to watermarking. The main requirements of fingerprinting systems are described. The basic modes of employing audio fingerprints, namely identification, authentication, content-based secret key generation for watermarking and content-based audio retrieval and processing are depicted. Some concrete scenarios and business models where the technology is used are presented, as well as an example of an au- dio fingerprinting extraction algorithm which has been proposed for both identification and verification.

[1]  Martin Kaltenbrunner,et al.  Statistical Significance in Song-Spotting in Audio , 2001 .

[2]  Jaap A. Haitsma,et al.  Robust Audio Hashing for Content Identification , 2001 .

[3]  Pedro Cano,et al.  Mixed Watermarking-Fingerprinting Approach for Integrity Verification of Audio Recordings , 2002 .

[4]  Eloi Batlle,et al.  SYSTEM ANALYSIS AND PERFORMANCE TUNING FOR BROADCAST AUDIO FINGERPRINTING , 2003 .

[5]  Pedro Cano,et al.  Audio Watermarking and Fingerprinting: For Which Applications? , 2003 .

[6]  Eric Allamanche,et al.  Content-based Identification of Audio Material Using MPEG-7 Low Level Description , 2001, ISMIR.

[7]  Ramarathnam Venkatesan,et al.  A Perceptual Audio Hashing Algorithm: A Tool for Robust Audio Identification and Information Hiding , 2001, Information Hiding.

[8]  Min Wu,et al.  What can we reasonably expect from watermarks? , 2001, Proceedings of the 2001 IEEE Workshop on the Applications of Signal Processing to Audio and Acoustics (Cat. No.01TH8575).

[9]  Helmut Neuschmied,et al.  Robust Sound Modeling for Song Detection in Broadcast Audio , 2002 .

[10]  Pedro Cano,et al.  Automatic Segmentation for Music Classification using Competitive Hidden Markov Models , 2000, ISMIR.

[11]  Dan Gusfield,et al.  Algorithms on Strings, Trees, and Sequences - Computer Science and Computational Biology , 1997 .

[12]  Ahmed H. Tewfik,et al.  Digital watermarks for audio signals , 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

[13]  George Tzanetakis,et al.  Panel: New directions in Music Information Retrieval , 2001, International Conference on Mathematics and Computing.

[14]  Jürgen Herre,et al.  AudioID: Towards Content-Based Identification of Audio Material , 2001 .

[15]  Pedro Cano,et al.  On the use of FastMap for Audio Retrieval and Browsing , 2002, ISMIR.

[16]  Fabien Gouyon,et al.  On the use of Fastmap for audio information retrieval and browsing , 2002 .

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