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Research paper

PERCEPTUAL HASHING ALGORITHM FOR SPEECH CONTENT IDENTIFICATION BASED ON SPECTRUM ENTROPY IN COMPRESSED DOMAIN

This paper proposes a new perceptual hashing algorithm for speech content identification with compressed domain based on MDCT (Modified Discrete Cosine Transform) Spectrum Entropy. It aims primarily to solve problems of large computational complexity and poor real-time performance that appear when applying traditional identification methods to the compressed speeches. The process begins by extracting the MDCT coefficients, which are the intermediately decoded results of compressed speeches in

Zhang Qiu-yu, Liu Yang-wei, Huang Yi-bo, Xing Peng-fei, Yang Zhong-ping

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 283–300

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