Automatic identification of audio titles on radio broadcasts is a first step towards automatic annotation of radio programmes. Systems designed for the purpose of identification have to deal with a variety of post-processing 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. To allow for fast time-scale invariant audio dentification, the extracted fingerprints are used as an input to an algebraic indexing technique that has already been successfully applied to the task of audio identification.
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https://aes2.org/publications/elibrary-page/?id=12811
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