In this paper, we propose a two-level audio fingerprint retrieval algorithm to satisfy the demand of accurate and efficient search for advertisement audio. We use the spectrum modulus to extract two kinds of audio fingerprints from global and local view of the audio frame, and then we carry on a two-level advertisement audio search. Finally, we parallel the search by MPI to enhance the search speed and make our system have a good scalability.
No takes yet. Share an insight, caveat, or question.
Sui et al. (2014) studied this question.
Synapse has enriched 3 closely related papers on similar clinical questions. Consider them for comparative context: