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Robust matching of audio signals using spectral flatness features

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3 Author(s)
J. Herre ; Audio Dept., Fraunhofer Inst. for Integrated Circuits IIS-A, Erlangen, Germany ; E. Allamanche ; O. Hellmuth

Stimulated by the ever-increasing amount of available multimedia data, content-related techniques for the management of audio material have received much interest recently. This paper discusses the problem of robust identification of audio signals by matching them to a known reference. In order to perform well under realworld conditions, the matching process needs to rely on features which are robust with respect to common signal distortions. A family of suitable features with favorable properties is proposed and evaluated for their recognition performance. Applications of signal matching, including fingerprinting, are discussed.

Published in:

Applications of Signal Processing to Audio and Acoustics, 2001 IEEE Workshop on the

Date of Conference:

24-24 Oct. 2001