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

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering , Engineering, Electrical & Electronic

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VOLUME 7 , ISSUE 1 (March 2014) > List of articles

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

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

Keywords : Perceptual speech hashing algorithm, Spectrum entropy, Modified discrete cosine transform, Compressed domain

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 7, Issue 1, Pages 283-300, DOI: https://doi.org/10.21307/ijssis-2017-656

License : (CC BY-NC-ND 4.0)

Received Date : 05-November-2013 / Accepted: 08-February-2014 / Published Online: 27-December-2017

ARTICLE

ABSTRACT

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 MP3 format. In order to reduce the computational complexity, these coefficients are divided into sub-bands and the energy of MDCT spectrum is then calculated. Sub-bands of MDCT spectrum energy are then mapped to a similar mass function in information entropy theory. The function will be used as a perceptual feature and set to extract binary hash values. Experimental results show that the proposed algorithm keeps greater robustness to content-preserving operations while also maintaining efficiency. As a result of the partial decoding process, the real-time performance can meet the requirements of applications in real-time communication terminals.

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