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Proceedings Paper

Neural network based audio watermarking algorithm
Author(s): Longhan Cao; Xiao Wang; Zhujing Wang; Sen Bai
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Paper Abstract

A novel audio watermarking algorithm based on neural networks was proposed. By transforming original audio sequence into 1D wavelet domain and selecting proper positions, several watermark bits were embed. Before transmitting, it effectively utilizes neural networks to learn the relation characteristics between original audio and watermarked audio. Due to the learning and adaptive capabilities of neural networks possessing, the trained neural networks almost exactly extract the watermark from the watermarked audio against audio processing attacks. Extensive experimental results show that the proposed method significantly possesses robustness. It is immune against such attacks as low pass filtering, addition of noise, resampling and medium filtering.

Paper Details

Date Published: 20 February 2006
PDF: 5 pages
Proc. SPIE 6041, ICMIT 2005: Information Systems and Signal Processing, 60410V (20 February 2006); doi: 10.1117/12.664309
Show Author Affiliations
Longhan Cao, Chongqing Communication Institute (China)
Chongqing Univ. (China)
Xiao Wang, Chongqing Communication Institute (China)
Zhujing Wang, Chongqing Communication Institute (China)
Sen Bai, Chongqing Communication Institute (China)
Chongqing Univ. (China)

Published in SPIE Proceedings Vol. 6041:
ICMIT 2005: Information Systems and Signal Processing
Yunlong Wei; Kil To Chong; Takayuki Takahashi, Editor(s)

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