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Journal of Applied Sciences >

2014 , Vol. 32 >Issue 4: 434 - 440

DOI: https://doi.org/10.3969/j.issn.0255-8297.2014.04.015

Signal and Information Processing

Audio Watermarking against Synchronization Attacks Using Statistical Features

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  • School of Information Science and Technology, Jinan University, Guangzhou 510632, China

Received date: 2012-06-27

  Revised date: 2014-01-23

  Online published: 2014-01-23

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Abstract

This paper proposes a robust audio watermarking approach against random cropping and timescale modifications (TSM) by using two local statistical features. In the embedding, audio signals are divided into segments, and histogram and the absolute mean value of each segment computed. The histogram shapes of the segments are modified to insert messages by referring to the corresponding mean values. Theoretical analysis and experimental results show that the proposed audio watermarking algorithm can provide better performance for random cropping while keeping satisfactory robustness to the TSM attacks in comparison with earlier methods.  

Key words： audio watermarking; robust segmentation; random cropping; local statistical feature

Cite this article

XIANG Shi-jun, HUO Yong-jin, LIU Shang-yi, LUO Xin-rong . Audio Watermarking against Synchronization Attacks Using Statistical Features[J]. Journal of Applied Sciences, 2014 , 32(4) : 434 -440 . DOI: 10.3969/j.issn.0255-8297.2014.04.015

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