Abstract
Audio fingerprinting techniques aim at successfully performing content-based audio identification even when the audio signals are slightly or seriously distorted. In this letter, we propose a novel audio fingerprinting technique based on multiple hashing. In order to improve the robustness of hashing, multiple hash strings are generated through the discrete cosine transform (DCT) which is applied to the temporal energy sequence in each subband. Experimental results show that the proposed algorithm outperforms the Philips Robust Hash (PRH) algorithm under various distortions.
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