NDLI: ICA based informed source separation for watermarked audio signals

Content Provider	IEEE Xplore Digital Library
Author	Sharanya, R. Sugumar, D. Skaria, S.M. Zacharias, J.N. Rosebell, V.J.R.
Copyright Year	2011
Description	Author affiliation: Dept of ECE Karunya University Coimbatore, India (Zacharias, J.N.) \|\| Dept of ECE, Karunya University, Coimbatore, India (Sharanya, R.; Sugumar, D.; Skaria, S.M.; Rosebell, V.J.R.)
Abstract	This paper presents an efficient, digital audio watermarking method based on one dimensional multilevel discrete wavelet transform(MDWT) and discrete cosine transform (DCT) for the application of copyright protection. The proposed scheme also employs informed source separation for the watermark extracted audio signal based on independent component analysis (ICA). The watermark is detected and extracted to verify the ownership at the receiver end. This algorithm is realized to embed a binary image watermark into the audio signal and improve the imperceptibility of watermarks. In addition, the performance of the proposed algorithm in terms of Signal to Noise Ratio (SNR), Peak Signal to Noise Ratio (PSNR) and Normalized Root Mean Square Error (NRMSE) are also studied. The proposed scheme achieved good robustness against most of the attacks such as requantization, filtering, addition and multiplication of noise. The experimental result shows that the SNR value is about 36.12dB for the proposed algorithm, whereas by using only MDWT technique method gives only 30dB.
Starting Page	130
Ending Page	134
File Size	339757
Page Count	5
File Format	PDF
ISBN	9781424486786
e-ISBN	9781424486793
DOI	10.1109/ICECTECH.2011.5941872
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-08
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Source separation Audio Watermarking Independent Component Analysis Informed Source Separation Watermarking Copyright protection Speech Robustness Discrete cosine transforms Signal to noise ratio
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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