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Perceptual Hashing Algorithm For Speech Content Identification Based On Spectrum Entropy In Compressed Domain Cover

Perceptual Hashing Algorithm For Speech Content Identification Based On Spectrum Entropy In Compressed Domain

International Journal on Smart Sensing and Intelligent Systems
Volume 7 (2014): Issue 1 (January 2014)
By: Zhang Qiu-yu,  Liu Yang-wei,  Huang Yi-bo,  Xing Peng-fei and  Yang Zhong-ping  
Open Access
|Mar 2014

Authors

Zhang Qiu-yu

zhangqylz@163.com

School of Computer and Communication Lanzhou University of Technology, Gansu, China

Liu Yang-wei

School of Computer and Communication Lanzhou University of Technology, Gansu, China

Huang Yi-bo

School of Computer and Communication Lanzhou University of Technology, Gansu, China

Xing Peng-fei

School of Computer and Communication Lanzhou University of Technology, Gansu, China

Yang Zhong-ping

School of Computer and Communication Lanzhou University of Technology, Gansu, China
DOI: https://doi.org/10.21307/ijssis-2017-656 | Journal eISSN: 1178-5608
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Language: English
Page range: 283 - 300
Submitted on: Nov 5, 2013
|
Accepted on: Feb 8, 2014
|
Published on: Mar 10, 2014
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Perceptual speech hashing algorithm,
Spectrum entropy,
Modified discrete cosine transform,
Compressed domain
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2014 Zhang Qiu-yu, Liu Yang-wei, Huang Yi-bo, Xing Peng-fei, Yang Zhong-ping, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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