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Proceedings Paper

On the comparison of audio fingerprints for extracting quality parameters of compressed audio
Author(s): P. J. O. Doets; M. Menor Gisbert; R. L. Lagendijk
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Paper Abstract

Audio fingerprints can be seen as hashes of the perceptual content of an audio excerpt. Applications include linking metadata to unlabeled audio, watermark support, and broadcast monitoring. Existing systems identify a song by comparing its fingerprint to pre-computed fingerprints in a database. Small changes of the audio induce small differences in the fingerprint. The song is identified if these fingerprint differences are small enough. In addition, we found that distances between fingerprints of the original and a compressed version can be used to estimate the quality (bitrate) of the compressed version. In this paper, we study the relationship between compression bit-rate and fingerprint differences. We present a comparative study of the response to compression using three fingerprint algorithms (each representative for a larger set of algorithms), developed at Philips, Polytechnic University of Milan, and Microsoft, respectively. We have conducted experiments both using the original algorithms and using versions modified to achieve similar operation conditions, i.e., the fingerprints use the same number of bits per second. Our study shows similar behavior for these three algorithms.

Paper Details

Date Published: 16 February 2006
PDF: 12 pages
Proc. SPIE 6072, Security, Steganography, and Watermarking of Multimedia Contents VIII, 60720L (16 February 2006); doi: 10.1117/12.642968
Show Author Affiliations
P. J. O. Doets, Delft Univ. of Technology (Netherlands)
M. Menor Gisbert, Delft Univ. of Technology (Netherlands)
R. L. Lagendijk, Delft Univ. of Technology (Netherlands)

Published in SPIE Proceedings Vol. 6072:
Security, Steganography, and Watermarking of Multimedia Contents VIII
Edward J. Delp III; Ping Wah Wong, Editor(s)

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