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.
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is free for AES members and E-Library subscribers.