Volume 7, Issue 5, October 2014, Pages 865 - 873
A Robust Blind Audio Watermarking Scheme Based on Singular Value Decomposition and Neural Networks
Authors
Yu Yang, Min Lei, Huaqun Liu, Yongmei Cai, Guoyuan Lin
Corresponding Author
Yu Yang
Received 6 April 2013, Accepted 27 May 2013, Available Online 1 October 2014.
- DOI
- 10.1080/18756891.2013.870767How to use a DOI?
- Keywords
- Blind watermarking, singular value decomposition, neural networks, copyright protection
- Abstract
The paper proposes a novel blind audio watermarking scheme based on singular value decomposition (SVD) and neural networks (NN), which makes use of memorization and adaptation capabilities of NN. Experimental results show that the proposed watermarking algorithm is strongly robust against several kinds of attacks such as noise addition, re-sampling, re-quantization, MP3 compression, replace and so on. Additionally, the proposed algorithm achieves signal-to-noise radio (SNR) values ranging from 21dB to 48dB for different watermarked sounds and embedded strengths. These results demonstrate that the proposed watermarking method is a suitable candidate for audio copyright protection.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Yu Yang AU - Min Lei AU - Huaqun Liu AU - Yongmei Cai AU - Guoyuan Lin PY - 2014 DA - 2014/10/01 TI - A Robust Blind Audio Watermarking Scheme Based on Singular Value Decomposition and Neural Networks JO - International Journal of Computational Intelligence Systems SP - 865 EP - 873 VL - 7 IS - 5 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2013.870767 DO - 10.1080/18756891.2013.870767 ID - Yang2014 ER -