Metadata for Audio 25th International AES Conference 17th to 19th June 2004 London UK
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Paper CD4-2

Robust Identification of Time-Scaled Audio

Rolf Bardeli, Frank Kurth
University of Bonn, Bonn, Germany

Automatic identification of audio titles on radio broadcasts is a first step toward automatic annotation of radio programs. Systems designed for the purpose of identification have to deal with a variety of postprocessing potentially imposed on audio material at the radio stations. One of the more difficult techniques to be handled is time-scaling, i.e., the variation of playback speed. In this paper we propose a robust fingerprinting technique designed for the identification of time-scaled audio data. This technique has been applied as a feature extractor to an algebraic indexing technique that has already been successfully applied to the task of audio identification.

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