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DCT based multiple hashing technique for robust audio fingerprinting

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5 Author(s)
Yu Liu ; Sch. of Electr. Eng. & INMC, Seoul Nat. Univ., Seoul ; Kiho Cho ; Hwan Sik Yun ; Jong Won Shin
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Audio fingerprinting techniques should successfully perform content-based audio identification even when the audio files are slightly or seriously distorted. In this paper, we present a novel audio fingerprinting technique based on combining fingerprint matching results for multiple hash tables in order to improve the robustness of hashing. Multiple hash tables are built based on the discrete cosine transform (DCT) which is applied to the time sequence of energies in each sub-band. Experimental results show that the recognition errors are significantly reduced compared with Philips Robust Hash (PRH) under various distortions.

Published in:

Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on

Date of Conference:

19-24 April 2009

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